Overview

Dataset statistics

Number of variables230
Number of observations307499
Missing cells14453421
Missing cells (%)20.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory224.3 MiB
Average record size in memory765.0 B

Variable types

NUM166
BOOL36
CAT28

Warnings

organization_type has a high cardinality: 58 distinct values High cardinality
days_employed has 55374 (18.0%) missing values Missing
own_car_age has 202920 (66.0%) missing values Missing
occupation_type has 96391 (31.3%) missing values Missing
ext_source_1 has 173374 (56.4%) missing values Missing
ext_source_3 has 60964 (19.8%) missing values Missing
apartments_avg has 156055 (50.7%) missing values Missing
basementarea_avg has 179934 (58.5%) missing values Missing
years_beginexpluatation_avg has 150001 (48.8%) missing values Missing
years_build_avg has 204479 (66.5%) missing values Missing
commonarea_avg has 214856 (69.9%) missing values Missing
elevators_avg has 163885 (53.3%) missing values Missing
entrances_avg has 154822 (50.3%) missing values Missing
floorsmax_avg has 153014 (49.8%) missing values Missing
floorsmin_avg has 208633 (67.8%) missing values Missing
landarea_avg has 182581 (59.4%) missing values Missing
livingapartments_avg has 210190 (68.4%) missing values Missing
livingarea_avg has 154344 (50.2%) missing values Missing
nonlivingapartments_avg has 213505 (69.4%) missing values Missing
nonlivingarea_avg has 169676 (55.2%) missing values Missing
apartments_mode has 156055 (50.7%) missing values Missing
basementarea_mode has 179934 (58.5%) missing values Missing
years_beginexpluatation_mode has 150001 (48.8%) missing values Missing
years_build_mode has 204479 (66.5%) missing values Missing
commonarea_mode has 214856 (69.9%) missing values Missing
elevators_mode has 163885 (53.3%) missing values Missing
entrances_mode has 154822 (50.3%) missing values Missing
floorsmax_mode has 153014 (49.8%) missing values Missing
floorsmin_mode has 208633 (67.8%) missing values Missing
landarea_mode has 182581 (59.4%) missing values Missing
livingapartments_mode has 210190 (68.4%) missing values Missing
livingarea_mode has 154344 (50.2%) missing values Missing
nonlivingapartments_mode has 213505 (69.4%) missing values Missing
nonlivingarea_mode has 169676 (55.2%) missing values Missing
apartments_medi has 156055 (50.7%) missing values Missing
basementarea_medi has 179934 (58.5%) missing values Missing
years_beginexpluatation_medi has 150001 (48.8%) missing values Missing
years_build_medi has 204479 (66.5%) missing values Missing
commonarea_medi has 214856 (69.9%) missing values Missing
elevators_medi has 163885 (53.3%) missing values Missing
entrances_medi has 154822 (50.3%) missing values Missing
floorsmax_medi has 153014 (49.8%) missing values Missing
floorsmin_medi has 208633 (67.8%) missing values Missing
landarea_medi has 182581 (59.4%) missing values Missing
livingapartments_medi has 210190 (68.4%) missing values Missing
livingarea_medi has 154344 (50.2%) missing values Missing
nonlivingapartments_medi has 213505 (69.4%) missing values Missing
nonlivingarea_medi has 169676 (55.2%) missing values Missing
fondkapremont_mode has 210286 (68.4%) missing values Missing
housetype_mode has 154291 (50.2%) missing values Missing
totalarea_mode has 148425 (48.3%) missing values Missing
wallsmaterial_mode has 156335 (50.8%) missing values Missing
emergencystate_mode has 145749 (47.4%) missing values Missing
amt_req_credit_bureau_hour has 41518 (13.5%) missing values Missing
amt_req_credit_bureau_day has 41518 (13.5%) missing values Missing
amt_req_credit_bureau_week has 41518 (13.5%) missing values Missing
amt_req_credit_bureau_mon has 41518 (13.5%) missing values Missing
amt_req_credit_bureau_qrt has 41518 (13.5%) missing values Missing
amt_req_credit_bureau_year has 41518 (13.5%) missing values Missing
amt_annuity_mean has 16871 (5.5%) missing values Missing
amt_annuity_max has 16871 (5.5%) missing values Missing
amt_annuity_last has 16871 (5.5%) missing values Missing
amt_credit_mean has 16454 (5.4%) missing values Missing
amt_credit_max has 16454 (5.4%) missing values Missing
amt_credit_last has 16454 (5.4%) missing values Missing
amt_down_payment_mean has 33906 (11.0%) missing values Missing
amt_down_payment_max has 33906 (11.0%) missing values Missing
amt_down_payment_last has 33906 (11.0%) missing values Missing
amt_goods_price_mean has 17429 (5.7%) missing values Missing
amt_goods_price_max has 17429 (5.7%) missing values Missing
cr_max_amt_cr_limit_max has 229573 (74.7%) missing values Missing
cr_max_amt_cr_limit_last has 229573 (74.7%) missing values Missing
cr_max_amt_balance_max has 229573 (74.7%) missing values Missing
cr_max_amt_payment_tot_max has 229573 (74.7%) missing values Missing
pc_max_sk_dpd_max has 20544 (6.7%) missing values Missing
pc_max_sk_dpd_last has 20544 (6.7%) missing values Missing
pc_max_sk_dpd_def_max has 20544 (6.7%) missing values Missing
pc_max_sk_dpd_def_last has 20544 (6.7%) missing values Missing
cr_max_sk_dpd_max has 229573 (74.7%) missing values Missing
cr_max_sk_dpd_last has 229573 (74.7%) missing values Missing
cr_max_sk_dpd_def_max has 229573 (74.7%) missing values Missing
cr_max_sk_dpd_def_last has 229573 (74.7%) missing values Missing
loan_durtn_1st_ver_sum has 16454 (5.4%) missing values Missing
loan_durtn_1st_ver_mean has 20783 (6.8%) missing values Missing
days_decision_mean has 16454 (5.4%) missing values Missing
days_decision_last has 16454 (5.4%) missing values Missing
cr_rt_max_balance_cr_max has 230452 (74.9%) missing values Missing
cr_rt_max_payment_inst_max has 256217 (83.3%) missing values Missing
in_rt_cnt_deficit_pmt_mean has 18113 (5.9%) missing values Missing
in_rt_cnt_deficit_pmt_max has 18113 (5.9%) missing values Missing
in_rt_cnt_surplus_pmt_mean has 18113 (5.9%) missing values Missing
in_rt_cnt_surplus_pmt_max has 18113 (5.9%) missing values Missing
in_rt_amt_deficit_inst_mean has 18107 (5.9%) missing values Missing
in_rt_amt_deficit_inst_max has 18107 (5.9%) missing values Missing
in_rt_amt_deficit_inst_last has 18107 (5.9%) missing values Missing
in_rt_amt_surplus_inst_mean has 18114 (5.9%) missing values Missing
in_rt_amt_surplus_inst_max has 18114 (5.9%) missing values Missing
in_rt_amt_surplus_inst_last has 18108 (5.9%) missing values Missing
rt_credit_application_mean has 59572 (19.4%) missing values Missing
rt_credit_application_max has 59572 (19.4%) missing values Missing
rt_credit_application_last has 24050 (7.8%) missing values Missing
rt_annuity_credit_mean has 16872 (5.5%) missing values Missing
rt_annuity_credit_max has 16872 (5.5%) missing values Missing
rt_annuity_credit_last has 16872 (5.5%) missing values Missing
rt_payment_delay_mean has 20783 (6.8%) missing values Missing
rt_payment_delay_max has 20783 (6.8%) missing values Missing
rt_payment_delay_last has 20783 (6.8%) missing values Missing
rt_payment_advance_mean has 20784 (6.8%) missing values Missing
rt_payment_advance_max has 20784 (6.8%) missing values Missing
rt_payment_advance_last has 20784 (6.8%) missing values Missing
rate_down_payment_mean has 33906 (11.0%) missing values Missing
rate_down_payment_max has 33906 (11.0%) missing values Missing
rate_down_payment_last has 33906 (11.0%) missing values Missing
cnt_payment_sum has 16454 (5.4%) missing values Missing
cnt_payment_mean has 16869 (5.5%) missing values Missing
cr_sum_cnt_drawings_curr_sum has 16454 (5.4%) missing values Missing
cr_sum_cnt_drawings_curr_mean has 229573 (74.7%) missing values Missing
in_cnt_payment_sum has 16454 (5.4%) missing values Missing
in_cnt_payment_mean has 18105 (5.9%) missing values Missing
in_sum_payment_delay_mean has 18105 (5.9%) missing values Missing
in_sum_payment_delay_max has 18105 (5.9%) missing values Missing
in_sum_payment_delay_last has 18105 (5.9%) missing values Missing
in_sum_payment_advance_mean has 18105 (5.9%) missing values Missing
in_sum_payment_advance_max has 18105 (5.9%) missing values Missing
in_sum_payment_advance_last has 18105 (5.9%) missing values Missing
nflag_insured_on_approval_sum has 16454 (5.4%) missing values Missing
nflag_last_appl_per_contract_sum has 16454 (5.4%) missing values Missing
nflag_last_appl_in_day_sum has 16454 (5.4%) missing values Missing
pc_latest_contract_status_last has 20544 (6.7%) missing values Missing
cr_latest_contract_status_last has 229573 (74.7%) missing values Missing
name_client_type_last has 16454 (5.4%) missing values Missing
name_yield_group_grp_mode has 16454 (5.4%) missing values Missing
name_yield_group_last has 16454 (5.4%) missing values Missing
name_payment_type_grp_mode has 16454 (5.4%) missing values Missing
name_payment_type_last has 16454 (5.4%) missing values Missing
product_combination_last has 16454 (5.4%) missing values Missing
name_type_suite_last has 61918 (20.1%) missing values Missing
channel_type_grp_mode has 16454 (5.4%) missing values Missing
channel_type_last has 16454 (5.4%) missing values Missing
code_reject_reason_grp_mode has 16454 (5.4%) missing values Missing
code_reject_reason_last has 16454 (5.4%) missing values Missing
prev_cnt_ct_cash_loans has 16454 (5.4%) missing values Missing
prev_cnt_ct_consumer_loans has 16454 (5.4%) missing values Missing
prev_cnt_ct_revolving_loans has 16454 (5.4%) missing values Missing
prev_cnt_cs_approved has 16454 (5.4%) missing values Missing
prev_cnt_cs_canceled has 16454 (5.4%) missing values Missing
prev_cnt_cs_refused has 16454 (5.4%) missing values Missing
prev_cnt_cs_unused_offer has 16454 (5.4%) missing values Missing
prev_cnt_pt_xna has 16454 (5.4%) missing values Missing
prev_cnt_pt_walk-in has 16454 (5.4%) missing values Missing
prev_cnt_pt_x-sell has 16454 (5.4%) missing values Missing
bc_cnt_loans has 44019 (14.3%) missing values Missing
bc_cnt_credit_type has 44019 (14.3%) missing values Missing
bc_sum_cnt_credit_prolong has 44019 (14.3%) missing values Missing
bc_last_days has 44019 (14.3%) missing values Missing
bc_amt_max_credit_overdue has 123618 (40.2%) missing values Missing
bb_last_loan_status has 123618 (40.2%) missing values Missing
bb_cnt_unique_loan_obs has 44019 (14.3%) missing values Missing
bc_cnt_car_loan has 44019 (14.3%) missing values Missing
bc_cnt_consumer_credit has 44019 (14.3%) missing values Missing
bc_cnt_cr_type_others has 44019 (14.3%) missing values Missing
bc_cnt_credit_card has 44019 (14.3%) missing values Missing
bc_cnt_mortgage has 44019 (14.3%) missing values Missing
bc_cnt_active has 44019 (14.3%) missing values Missing
bc_cnt_closed has 44019 (14.3%) missing values Missing
bc_cnt_cr_status_others has 44019 (14.3%) missing values Missing
amt_income_total is highly skewed (γ1 = 391.5540191) Skewed
amt_down_payment_mean is highly skewed (γ1 = 31.42994001) Skewed
amt_down_payment_max is highly skewed (γ1 = 27.52791917) Skewed
amt_down_payment_last is highly skewed (γ1 = 37.86212625) Skewed
in_sum_payment_delay_mean is highly skewed (γ1 = 347.3404227) Skewed
in_sum_payment_delay_max is highly skewed (γ1 = 143.9169541) Skewed
in_sum_payment_delay_last is highly skewed (γ1 = 385.5639434) Skewed
bc_amt_max_credit_overdue is highly skewed (γ1 = 265.9228473) Skewed
bb_last_loan_status is highly skewed (γ1 = 278.8534298) Skewed
df_index has unique values Unique
sk_id_curr has unique values Unique
cnt_children has 215359 (70.0%) zeros Zeros
basementarea_avg has 14745 (4.8%) zeros Zeros
commonarea_avg has 8442 (2.7%) zeros Zeros
elevators_avg has 85715 (27.9%) zeros Zeros
landarea_avg has 15599 (5.1%) zeros Zeros
nonlivingapartments_avg has 54547 (17.7%) zeros Zeros
nonlivingarea_avg has 58733 (19.1%) zeros Zeros
basementarea_mode has 16598 (5.4%) zeros Zeros
commonarea_mode has 9690 (3.2%) zeros Zeros
elevators_mode has 89495 (29.1%) zeros Zeros
floorsmax_mode has 3415 (1.1%) zeros Zeros
landarea_mode has 17452 (5.7%) zeros Zeros
nonlivingapartments_mode has 59253 (19.3%) zeros Zeros
nonlivingarea_mode has 67124 (21.8%) zeros Zeros
basementarea_medi has 14991 (4.9%) zeros Zeros
commonarea_medi has 8691 (2.8%) zeros Zeros
elevators_medi has 87023 (28.3%) zeros Zeros
landarea_medi has 15918 (5.2%) zeros Zeros
nonlivingapartments_medi has 56095 (18.2%) zeros Zeros
nonlivingarea_medi has 60952 (19.8%) zeros Zeros
obs_30_cnt_social_circle has 163901 (53.3%) zeros Zeros
def_30_cnt_social_circle has 271312 (88.2%) zeros Zeros
obs_60_cnt_social_circle has 164657 (53.5%) zeros Zeros
def_60_cnt_social_circle has 280709 (91.3%) zeros Zeros
days_last_phone_change has 37672 (12.3%) zeros Zeros
amt_req_credit_bureau_hour has 264355 (86.0%) zeros Zeros
amt_req_credit_bureau_day has 264492 (86.0%) zeros Zeros
amt_req_credit_bureau_week has 257448 (83.7%) zeros Zeros
amt_req_credit_bureau_mon has 222227 (72.3%) zeros Zeros
amt_req_credit_bureau_qrt has 215409 (70.1%) zeros Zeros
amt_req_credit_bureau_year has 71800 (23.3%) zeros Zeros
amt_credit_last has 77033 (25.1%) zeros Zeros
amt_down_payment_mean has 76950 (25.0%) zeros Zeros
amt_down_payment_max has 76951 (25.0%) zeros Zeros
amt_down_payment_last has 151120 (49.1%) zeros Zeros
cr_max_amt_balance_max has 26277 (8.5%) zeros Zeros
cr_max_amt_payment_tot_max has 25217 (8.2%) zeros Zeros
pc_max_sk_dpd_max has 235519 (76.6%) zeros Zeros
pc_max_sk_dpd_last has 268377 (87.3%) zeros Zeros
pc_max_sk_dpd_def_max has 248798 (80.9%) zeros Zeros
pc_max_sk_dpd_def_last has 272894 (88.7%) zeros Zeros
cr_max_sk_dpd_max has 65349 (21.3%) zeros Zeros
cr_max_sk_dpd_last has 65429 (21.3%) zeros Zeros
cr_max_sk_dpd_def_max has 67937 (22.1%) zeros Zeros
cr_max_sk_dpd_def_last has 68007 (22.1%) zeros Zeros
loan_durtn_1st_ver_sum has 4329 (1.4%) zeros Zeros
cr_rt_max_balance_cr_max has 25531 (8.3%) zeros Zeros
in_rt_cnt_deficit_pmt_mean has 168189 (54.7%) zeros Zeros
in_rt_cnt_deficit_pmt_max has 168189 (54.7%) zeros Zeros
in_rt_cnt_surplus_pmt_mean has 252168 (82.0%) zeros Zeros
in_rt_cnt_surplus_pmt_max has 252168 (82.0%) zeros Zeros
in_rt_amt_deficit_inst_mean has 168195 (54.7%) zeros Zeros
in_rt_amt_deficit_inst_max has 168195 (54.7%) zeros Zeros
in_rt_amt_deficit_inst_last has 229304 (74.6%) zeros Zeros
in_rt_amt_surplus_inst_mean has 252176 (82.0%) zeros Zeros
in_rt_amt_surplus_inst_max has 252176 (82.0%) zeros Zeros
in_rt_amt_surplus_inst_last has 266032 (86.5%) zeros Zeros
rt_payment_delay_mean has 147569 (48.0%) zeros Zeros
rt_payment_delay_max has 147569 (48.0%) zeros Zeros
rt_payment_delay_last has 209744 (68.2%) zeros Zeros
rate_down_payment_mean has 76950 (25.0%) zeros Zeros
rate_down_payment_max has 76951 (25.0%) zeros Zeros
rate_down_payment_last has 151120 (49.1%) zeros Zeros
cr_sum_cnt_drawings_curr_sum has 238561 (77.6%) zeros Zeros
cr_sum_cnt_drawings_curr_mean has 25442 (8.3%) zeros Zeros
in_sum_payment_delay_mean has 139235 (45.3%) zeros Zeros
in_sum_payment_delay_max has 139235 (45.3%) zeros Zeros
in_sum_payment_delay_last has 208387 (67.8%) zeros Zeros
nflag_insured_on_approval_sum has 137756 (44.8%) zeros Zeros
prev_cnt_ct_cash_loans has 119611 (38.9%) zeros Zeros
prev_cnt_ct_consumer_loans has 22034 (7.2%) zeros Zeros
prev_cnt_ct_revolving_loans has 186995 (60.8%) zeros Zeros
prev_cnt_cs_canceled has 180327 (58.6%) zeros Zeros
prev_cnt_cs_refused has 190757 (62.0%) zeros Zeros
prev_cnt_cs_unused_offer has 272013 (88.5%) zeros Zeros
prev_cnt_pt_xna has 10834 (3.5%) zeros Zeros
prev_cnt_pt_walk-in has 218386 (71.0%) zeros Zeros
prev_cnt_pt_x-sell has 139766 (45.5%) zeros Zeros
bc_sum_cnt_credit_prolong has 254973 (82.9%) zeros Zeros
bc_amt_max_credit_overdue has 113443 (36.9%) zeros Zeros
bb_last_loan_status has 149507 (48.6%) zeros Zeros
bb_cnt_unique_loan_obs has 79599 (25.9%) zeros Zeros
bc_cnt_car_loan has 243906 (79.3%) zeros Zeros
bc_cnt_consumer_credit has 16641 (5.4%) zeros Zeros
bc_cnt_cr_type_others has 257078 (83.6%) zeros Zeros
bc_cnt_credit_card has 91446 (29.7%) zeros Zeros
bc_cnt_mortgage has 249175 (81.0%) zeros Zeros
bc_cnt_active has 46340 (15.1%) zeros Zeros
bc_cnt_closed has 33324 (10.8%) zeros Zeros
bc_cnt_cr_status_others has 258237 (84.0%) zeros Zeros

Reproduction

Analysis started2021-06-15 14:11:10.320472
Analysis finished2021-06-15 14:11:47.481196
Duration37.16 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

df_index
Real number (ℝ≥0)

UNIQUE

Distinct307499
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153756.2214
Minimum0
Maximum307510
Zeros1
Zeros (%)< 0.1%
Memory size2.3 MiB
2021-06-15T19:41:48.490970image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15374.9
Q176880.5
median153757
Q3230633.5
95-th percentile292135.1
Maximum307510
Range307510
Interquartile range (IQR)153753

Descriptive statistics

Standard deviation88771.08829
Coefficient of variation (CV)0.57734957
Kurtosis-1.199981418
Mean153756.2214
Median Absolute Deviation (MAD)76877
Skewness-2.238070814e-05
Sum4.727988431e+10
Variance7880306115
MonotocityStrictly increasing
2021-06-15T19:41:49.134981image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01< 0.1%
 
1079341< 0.1%
 
1120281< 0.1%
 
1017871< 0.1%
 
997381< 0.1%
 
1058811< 0.1%
 
1038321< 0.1%
 
1263591< 0.1%
 
1243101< 0.1%
 
1304531< 0.1%
 
Other values (307489)307489> 99.9%
 
ValueCountFrequency (%) 
01< 0.1%
 
11< 0.1%
 
21< 0.1%
 
31< 0.1%
 
41< 0.1%
 
ValueCountFrequency (%) 
3075101< 0.1%
 
3075091< 0.1%
 
3075081< 0.1%
 
3075071< 0.1%
 
3075061< 0.1%
 

sk_id_curr
Real number (ℝ≥0)

UNIQUE

Distinct307499
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean278181.9349
Minimum100002
Maximum456255
Zeros0
Zeros (%)0.0%
Memory size2.3 MiB
2021-06-15T19:41:49.984551image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum100002
5-th percentile117944.9
Q1189149.5
median278204
Q3367143.5
95-th percentile438428.2
Maximum456255
Range356253
Interquartile range (IQR)177994

Descriptive statistics

Standard deviation102790.3649
Coefficient of variation (CV)0.3695076928
Kurtosis-1.1989691
Mean278181.9349
Median Absolute Deviation (MAD)88998
Skewness-0.001222623062
Sum8.554066679e+10
Variance1.056585913e+10
MonotocityStrictly increasing
2021-06-15T19:41:50.487943image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1004011< 0.1%
 
2308741< 0.1%
 
2349681< 0.1%
 
2574951< 0.1%
 
2554461< 0.1%
 
2615891< 0.1%
 
2595401< 0.1%
 
2492991< 0.1%
 
2472501< 0.1%
 
2533931< 0.1%
 
Other values (307489)307489> 99.9%
 
ValueCountFrequency (%) 
1000021< 0.1%
 
1000031< 0.1%
 
1000041< 0.1%
 
1000061< 0.1%
 
1000071< 0.1%
 
ValueCountFrequency (%) 
4562551< 0.1%
 
4562541< 0.1%
 
4562531< 0.1%
 
4562521< 0.1%
 
4562511< 0.1%
 

target
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.3 KiB
0
282674 
1
 
24825
ValueCountFrequency (%) 
028267491.9%
 
1248258.1%
 

name_contract_type
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.3 MiB
Cash loans
278220 
Revolving loans
29279 
ValueCountFrequency (%) 
Cash loans27822090.5%
 
Revolving loans292799.5%
 
2021-06-15T19:41:50.993473image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

code_gender
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.3 MiB
F
202444 
M
105055 
ValueCountFrequency (%) 
F20244465.8%
 
M10505534.2%
 
2021-06-15T19:41:51.322604image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

flag_own_car
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.3 MiB
N
202915 
Y
104584 
ValueCountFrequency (%) 
N20291566.0%
 
Y10458434.0%
 

flag_own_realty
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.3 MiB
Y
213309 
N
94190 
ValueCountFrequency (%) 
Y21330969.4%
 
N9419030.6%
 

cnt_children
Real number (ℝ≥0)

ZEROS

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.417068023
Minimum0
Maximum19
Zeros215359
Zeros (%)70.0%
Memory size300.3 KiB
2021-06-15T19:41:51.642099image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum19
Range19
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7221307747
Coefficient of variation (CV)1.731446035
Kurtosis7.903782362
Mean0.417068023
Median Absolute Deviation (MAD)0
Skewness1.9745444
Sum128248
Variance0.5214728557
MonotocityNot monotonic
2021-06-15T19:41:52.023799image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%) 
021535970.0%
 
16111919.9%
 
2267498.7%
 
337171.2%
 
44290.1%
 
584< 0.1%
 
621< 0.1%
 
77< 0.1%
 
143< 0.1%
 
82< 0.1%
 
Other values (5)9< 0.1%
 
ValueCountFrequency (%) 
021535970.0%
 
16111919.9%
 
2267498.7%
 
337171.2%
 
44290.1%
 
ValueCountFrequency (%) 
192< 0.1%
 
143< 0.1%
 
122< 0.1%
 
111< 0.1%
 
102< 0.1%
 

amt_income_total
Real number (ℝ≥0)

SKEWED

Distinct2548
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean168797.2334
Minimum25650
Maximum117000000
Zeros0
Zeros (%)0.0%
Memory size2.3 MiB
2021-06-15T19:41:52.424891image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum25650
5-th percentile67500
Q1112500
median146997
Q3202500
95-th percentile337500
Maximum117000000
Range116974350
Interquartile range (IQR)90000

Descriptive statistics

Standard deviation237127.3698
Coefficient of variation (CV)1.404806021
Kurtosis191780.3794
Mean168797.2334
Median Absolute Deviation (MAD)43497
Skewness391.5540191
Sum5.190498046e+10
Variance5.622938951e+10
MonotocityNot monotonic
2021-06-15T19:41:52.917997image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1350003575011.6%
 
1125003101910.1%
 
157500265558.6%
 
180000247188.0%
 
90000224827.3%
 
225000206986.7%
 
202500163385.3%
 
67500111473.6%
 
270000108273.5%
 
8100060012.0%
 
Other values (2538)10196433.2%
 
ValueCountFrequency (%) 
256502< 0.1%
 
261003< 0.1%
 
264601< 0.1%
 
265502< 0.1%
 
2700066< 0.1%
 
ValueCountFrequency (%) 
1170000001< 0.1%
 
180000901< 0.1%
 
135000001< 0.1%
 
90000001< 0.1%
 
67500001< 0.1%
 

amt_credit
Real number (ℝ≥0)

Distinct5603
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean599027.2933
Minimum45000
Maximum4050000
Zeros0
Zeros (%)0.0%
Memory size2.3 MiB
2021-06-15T19:41:53.516409image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum45000
5-th percentile135000
Q1270000
median513531
Q3808650
95-th percentile1350000
Maximum4050000
Range4005000
Interquartile range (IQR)538650

Descriptive statistics

Standard deviation402492.6612
Coefficient of variation (CV)0.6719103881
Kurtosis1.934039321
Mean599027.2933
Median Absolute Deviation (MAD)251469
Skewness1.234772572
Sum1.842002937e+11
Variance1.620003423e+11
MonotocityNot monotonic
2021-06-15T19:41:54.045318image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
45000097073.2%
 
67500088772.9%
 
22500081622.7%
 
18000073422.4%
 
27000072412.4%
 
90000062462.0%
 
25470045001.5%
 
54504044371.4%
 
80865041521.4%
 
13500036601.2%
 
Other values (5593)24317579.1%
 
ValueCountFrequency (%) 
450002300.1%
 
479702180.1%
 
485191< 0.1%
 
4945519< 0.1%
 
4950040< 0.1%
 
ValueCountFrequency (%) 
40500008< 0.1%
 
4031032.51< 0.1%
 
40276801< 0.1%
 
39562741< 0.1%
 
38600191< 0.1%
 

amt_annuity
Real number (ℝ≥0)

Distinct13672
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27108.57391
Minimum1615.5
Maximum258025.5
Zeros0
Zeros (%)0.0%
Memory size2.3 MiB
2021-06-15T19:41:54.554112image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1615.5
5-th percentile9000
Q116524
median24903
Q334596
95-th percentile53325
Maximum258025.5
Range256410
Interquartile range (IQR)18072

Descriptive statistics

Standard deviation14493.73732
Coefficient of variation (CV)0.5346551008
Kurtosis7.707319915
Mean27108.57391
Median Absolute Deviation (MAD)8815.5
Skewness1.579777364
Sum8335859368
Variance210068421.4
MonotocityNot monotonic
2021-06-15T19:41:55.118968image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
900063852.1%
 
1350055141.8%
 
675022790.7%
 
1012520350.7%
 
3780016020.5%
 
1125014590.5%
 
2621714530.5%
 
2025013450.4%
 
1237513390.4%
 
3165312690.4%
 
Other values (13662)28281992.0%
 
ValueCountFrequency (%) 
1615.51< 0.1%
 
19802< 0.1%
 
1993.51< 0.1%
 
20521< 0.1%
 
2164.52< 0.1%
 
ValueCountFrequency (%) 
258025.51< 0.1%
 
230161.51< 0.1%
 
22500023< 0.1%
 
220297.51< 0.1%
 
216589.51< 0.1%
 

amt_goods_price
Real number (ℝ≥0)

Distinct1002
Distinct (%)0.3%
Missing278
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean538397.3459
Minimum40500
Maximum4050000
Zeros0
Zeros (%)0.0%
Memory size2.3 MiB
2021-06-15T19:41:55.696967image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum40500
5-th percentile135000
Q1238500
median450000
Q3679500
95-th percentile1305000
Maximum4050000
Range4009500
Interquartile range (IQR)441000

Descriptive statistics

Standard deviation369448.3699
Coefficient of variation (CV)0.6862002065
Kurtosis2.431912396
Mean538397.3459
Median Absolute Deviation (MAD)225000
Skewness1.348995735
Sum1.65406971e+11
Variance1.36492098e+11
MonotocityNot monotonic
2021-06-15T19:41:56.187608image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
450000260198.5%
 
225000252818.2%
 
675000249628.1%
 
900000154165.0%
 
270000114283.7%
 
180000101233.3%
 
45450091573.0%
 
112500090502.9%
 
13500082062.7%
 
31500052251.7%
 
Other values (992)16235452.8%
 
ValueCountFrequency (%) 
405001< 0.1%
 
4500011690.4%
 
495001570.1%
 
507511< 0.1%
 
540002900.1%
 
ValueCountFrequency (%) 
40500008< 0.1%
 
38250001< 0.1%
 
37125001< 0.1%
 
36000003< 0.1%
 
35550001< 0.1%
 

name_type_suite
Categorical

Distinct7
Distinct (%)< 0.1%
Missing1292
Missing (%)0.4%
Memory size2.3 MiB
Unaccompanied
248515 
Family
40148 
Spouse, partner
 
11370
Children
 
3267
Other_B
 
1770
Other values (2)
 
1137
ValueCountFrequency (%) 
Unaccompanied24851580.8%
 
Family4014813.1%
 
Spouse, partner113703.7%
 
Children32671.1%
 
Other_B17700.6%
 
Other_A8660.3%
 
Group of people2710.1%
 
(Missing)12920.4%
 
2021-06-15T19:41:56.893511image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

name_income_type
Categorical

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.3 MiB
Working
158768 
Commercial associate
71614 
Pensioner
55362 
State servant
21700 
Unemployed
 
22
Other values (3)
 
33
ValueCountFrequency (%) 
Working15876851.6%
 
Commercial associate7161423.3%
 
Pensioner5536218.0%
 
State servant217007.1%
 
Unemployed22< 0.1%
 
Student18< 0.1%
 
Businessman10< 0.1%
 
Maternity leave5< 0.1%
 
2021-06-15T19:41:57.321371image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

name_education_type
Categorical

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.3 MiB
Secondary / secondary special
218386 
Higher education
74858 
Incomplete higher
 
10276
Lower secondary
 
3815
Academic degree
 
164
ValueCountFrequency (%) 
Secondary / secondary special21838671.0%
 
Higher education7485824.3%
 
Incomplete higher102763.3%
 
Lower secondary38151.2%
 
Academic degree1640.1%
 
2021-06-15T19:41:57.707183image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

name_family_status
Categorical

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.3 MiB
Married
196425 
Single / not married
45441 
Civil marriage
29773 
Separated
19770 
Widow
 
16088
ValueCountFrequency (%) 
Married19642563.9%
 
Single / not married4544114.8%
 
Civil marriage297739.7%
 
Separated197706.4%
 
Widow160885.2%
 
Unknown2< 0.1%
 
2021-06-15T19:41:58.081561image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

name_housing_type
Categorical

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.3 MiB
House / apartment
272858 
With parents
 
14840
Municipal apartment
 
11182
Rented apartment
 
4880
Office apartment
 
2617
ValueCountFrequency (%) 
House / apartment27285888.7%
 
With parents148404.8%
 
Municipal apartment111823.6%
 
Rented apartment48801.6%
 
Office apartment26170.9%
 
Co-op apartment11220.4%
 
2021-06-15T19:41:58.474361image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

region_population_relative
Real number (ℝ≥0)

Distinct81
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02087402344
Minimum0.0002899169922
Maximum0.07250976562
Zeros0
Zeros (%)0.0%
Memory size600.6 KiB
2021-06-15T19:41:58.844975image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.0002899169922
5-th percentile0.004959106445
Q10.01000976562
median0.01884460449
Q30.02865600586
95-th percentile0.04623413086
Maximum0.07250976562
Range0.07220458984
Interquartile range (IQR)0.01864624023

Descriptive statistics

Standard deviation0.01382446289
Coefficient of variation (CV)0.662109375
Kurtosisnan
Mean0.02087402344
Median Absolute Deviation (MAD)0.009185791016
Skewnessnan
Sum6412
Variance0.0001912117004
MonotocityNot monotonic
2021-06-15T19:41:59.337224image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.03579711914164065.3%
 
0.04623413086134394.4%
 
0.03076171875121634.0%
 
0.02516174316119503.9%
 
0.02639770508115993.8%
 
0.03134155273113213.7%
 
0.02865600586111573.6%
 
0.0191040039186942.8%
 
0.0725097656284112.7%
 
0.0207061767680662.6%
 
Other values (71)19429363.2%
 
ValueCountFrequency (%) 
0.00028991699222< 0.1%
 
0.000533103942939< 0.1%
 
0.000937938690228< 0.1%
 
0.0012760162355580.2%
 
0.0013332366942350.1%
 
ValueCountFrequency (%) 
0.0725097656284112.7%
 
0.04623413086134394.4%
 
0.03579711914164065.3%
 
0.0325622558666362.2%
 
0.03134155273113213.7%
 

days_birth
Real number (ℝ)

Distinct17460
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-16037.05421
Minimum-25229
Maximum-7489
Zeros0
Zeros (%)0.0%
Memory size2.3 MiB
2021-06-15T19:41:59.908100image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-25229
5-th percentile-23204
Q1-19682
median-15750
Q3-12413
95-th percentile-9407
Maximum-7489
Range17740
Interquartile range (IQR)7269

Descriptive statistics

Standard deviation4364.000425
Coefficient of variation (CV)-0.2721198274
Kurtosis-1.049130095
Mean-16037.05421
Median Absolute Deviation (MAD)3630
Skewness-0.1156639729
Sum-4931378133
Variance19044499.71
MonotocityNot monotonic
2021-06-15T19:42:00.372033image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-1374943< 0.1%
 
-1348142< 0.1%
 
-1824841< 0.1%
 
-1002041< 0.1%
 
-1577140< 0.1%
 
-1029240< 0.1%
 
-1326339< 0.1%
 
-1166439< 0.1%
 
-1426739< 0.1%
 
-1439539< 0.1%
 
Other values (17450)30709699.9%
 
ValueCountFrequency (%) 
-252291< 0.1%
 
-252012< 0.1%
 
-252001< 0.1%
 
-251972< 0.1%
 
-251964< 0.1%
 
ValueCountFrequency (%) 
-74891< 0.1%
 
-76731< 0.1%
 
-76762< 0.1%
 
-76783< 0.1%
 
-76791< 0.1%
 

days_employed
Real number (ℝ)

MISSING

Distinct5037
Distinct (%)2.0%
Missing55374
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean-2384
Minimum-17920
Maximum0
Zeros2
Zeros (%)< 0.1%
Memory size600.6 KiB
2021-06-15T19:42:00.930079image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-17920
5-th percentile-7292
Q1-3176
median-1648
Q3-767
95-th percentile-206
Maximum0
Range17920
Interquartile range (IQR)2409

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)-inf
Kurtosisnan
Mean-2384
Median Absolute Deviation (MAD)1066
Skewnessnan
Sum-inf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:42:01.381048image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-20561650.1%
 
-23921640.1%
 
-20881570.1%
 
-2001560.1%
 
-22921550.1%
 
-23081540.1%
 
-224152< 0.1%
 
-230151< 0.1%
 
-199151< 0.1%
 
-212150< 0.1%
 
Other values (5027)25057081.5%
 
(Missing)5537418.0%
 
ValueCountFrequency (%) 
-179201< 0.1%
 
-175841< 0.1%
 
-175521< 0.1%
 
-175361< 0.1%
 
-175201< 0.1%
 
ValueCountFrequency (%) 
02< 0.1%
 
-11< 0.1%
 
-22< 0.1%
 
-33< 0.1%
 
-44< 0.1%
 

days_registration
Real number (ℝ)

Distinct5282
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4988
Minimum-24672
Maximum0
Zeros80
Zeros (%)< 0.1%
Memory size600.6 KiB
2021-06-15T19:42:01.850577image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-24672
5-th percentile-11416
Q1-7480
median-4504
Q3-2010
95-th percentile-330
Maximum0
Range24672
Interquartile range (IQR)5470

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)-inf
Kurtosisnan
Mean-4988
Median Absolute Deviation (MAD)2700
Skewnessnan
Sum-inf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:42:02.306271image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-45442140.1%
 
-46322060.1%
 
-83202030.1%
 
-45922030.1%
 
-83362020.1%
 
-86562020.1%
 
-42082020.1%
 
-46882010.1%
 
-46402000.1%
 
-90242000.1%
 
Other values (5272)30546699.3%
 
ValueCountFrequency (%) 
-246721< 0.1%
 
-237441< 0.1%
 
-234241< 0.1%
 
-229281< 0.1%
 
-228641< 0.1%
 
ValueCountFrequency (%) 
080< 0.1%
 
-1113< 0.1%
 
-292< 0.1%
 
-384< 0.1%
 
-492< 0.1%
 

days_id_publish
Real number (ℝ)

Distinct6168
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2994.212498
Minimum-7197
Maximum0
Zeros16
Zeros (%)< 0.1%
Memory size2.3 MiB
2021-06-15T19:42:02.804474image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-7197
5-th percentile-4944
Q1-4299
median-3254
Q3-1720
95-th percentile-375
Maximum0
Range7197
Interquartile range (IQR)2579

Descriptive statistics

Standard deviation1509.452619
Coefficient of variation (CV)-0.5041234114
Kurtosis-1.106799195
Mean-2994.212498
Median Absolute Deviation (MAD)1186
Skewness0.3493287044
Sum-920717349
Variance2278447.209
MonotocityNot monotonic
2021-06-15T19:42:03.338328image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-40531690.1%
 
-40951620.1%
 
-40461610.1%
 
-44171590.1%
 
-42561580.1%
 
-41511570.1%
 
-40321570.1%
 
-42001560.1%
 
-41711550.1%
 
-42141550.1%
 
Other values (6158)30591099.5%
 
ValueCountFrequency (%) 
-71971< 0.1%
 
-65511< 0.1%
 
-63831< 0.1%
 
-63371< 0.1%
 
-62741< 0.1%
 
ValueCountFrequency (%) 
016< 0.1%
 
-164< 0.1%
 
-250< 0.1%
 
-351< 0.1%
 
-457< 0.1%
 

own_car_age
Real number (ℝ≥0)

MISSING

Distinct62
Distinct (%)0.1%
Missing202920
Missing (%)66.0%
Infinite0
Infinite (%)0.0%
Mean12.0625
Minimum0
Maximum91
Zeros2134
Zeros (%)0.7%
Memory size600.6 KiB
2021-06-15T19:42:03.914832image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median9
Q315
95-th percentile30
Maximum91
Range91
Interquartile range (IQR)10

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean12.0625
Median Absolute Deviation (MAD)5
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:42:04.423540image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
774242.4%
 
663822.1%
 
363702.1%
 
858861.9%
 
258511.9%
 
455561.8%
 
152801.7%
 
950201.6%
 
1048061.6%
 
1445941.5%
 
Other values (52)4741015.4%
 
(Missing)20292066.0%
 
ValueCountFrequency (%) 
021340.7%
 
152801.7%
 
258511.9%
 
363702.1%
 
455561.8%
 
ValueCountFrequency (%) 
912< 0.1%
 
691< 0.1%
 
658910.3%
 
6424430.8%
 
632< 0.1%
 

flag_mobil
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.3 KiB
1
307498 
0
 
1
ValueCountFrequency (%) 
1307498> 99.9%
 
01< 0.1%
 

flag_emp_phone
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.3 KiB
1
252113 
0
55386 
ValueCountFrequency (%) 
125211382.0%
 
05538618.0%
 

flag_work_phone
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.3 KiB
0
246195 
1
61304 
ValueCountFrequency (%) 
024619580.1%
 
16130419.9%
 

flag_cont_mobile
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.3 KiB
1
306925 
0
 
574
ValueCountFrequency (%) 
130692599.8%
 
05740.2%
 

flag_phone
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.3 KiB
0
221074 
1
86425 
ValueCountFrequency (%) 
022107471.9%
 
18642528.1%
 

flag_email
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.3 KiB
0
290058 
1
 
17441
ValueCountFrequency (%) 
029005894.3%
 
1174415.7%
 

occupation_type
Categorical

MISSING

Distinct18
Distinct (%)< 0.1%
Missing96391
Missing (%)31.3%
Memory size2.3 MiB
Laborers
55184 
Sales staff
32101 
Core staff
27569 
Managers
21370 
Drivers
18602 
Other values (13)
56282 
ValueCountFrequency (%) 
Laborers5518417.9%
 
Sales staff3210110.4%
 
Core staff275699.0%
 
Managers213706.9%
 
Drivers186026.0%
 
High skill tech staff113793.7%
 
Accountants98123.2%
 
Medicine staff85362.8%
 
Security staff67202.2%
 
Cooking staff59451.9%
 
Other values (8)138904.5%
 
(Missing)9639131.3%
 
2021-06-15T19:42:04.915763image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

cnt_fam_members
Real number (ℝ≥0)

Distinct17
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.15234375
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Memory size600.6 KiB
2021-06-15T19:42:05.276778image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum20
Range19
Interquartile range (IQR)1

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean2.15234375
Median Absolute Deviation (MAD)0
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:42:05.625161image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%) 
215834851.5%
 
16784422.1%
 
35260117.1%
 
4246978.0%
 
534781.1%
 
64080.1%
 
781< 0.1%
 
820< 0.1%
 
96< 0.1%
 
103< 0.1%
 
Other values (7)11< 0.1%
 
ValueCountFrequency (%) 
16784422.1%
 
215834851.5%
 
35260117.1%
 
4246978.0%
 
534781.1%
 
ValueCountFrequency (%) 
202< 0.1%
 
162< 0.1%
 
151< 0.1%
 
142< 0.1%
 
131< 0.1%
 

region_rating_client
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.3 KiB
2
226976 
3
48330 
1
32193 
ValueCountFrequency (%) 
222697673.8%
 
34833015.7%
 
13219310.5%
 
2021-06-15T19:42:06.067130image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

region_rating_client_w_city
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.3 KiB
2
229476 
3
43860 
1
34163 
ValueCountFrequency (%) 
222947674.6%
 
34386014.3%
 
13416311.1%
 
2021-06-15T19:42:06.507041image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

weekday_appr_process_start
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.3 MiB
TUESDAY
53901 
WEDNESDAY
51928 
MONDAY
50713 
THURSDAY
50591 
FRIDAY
50335 
Other values (2)
50031 
ValueCountFrequency (%) 
TUESDAY5390117.5%
 
WEDNESDAY5192816.9%
 
MONDAY5071316.5%
 
THURSDAY5059116.5%
 
FRIDAY5033516.4%
 
SATURDAY3385011.0%
 
SUNDAY161815.3%
 
2021-06-15T19:42:06.999845image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

hour_appr_process_start
Real number (ℝ≥0)

Distinct24
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.06334655
Minimum0
Maximum23
Zeros40
Zeros (%)< 0.1%
Memory size300.3 KiB
2021-06-15T19:42:07.577510image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q110
median12
Q314
95-th percentile17
Maximum23
Range23
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.265843137
Coefficient of variation (CV)0.270724473
Kurtosis-0.1942257211
Mean12.06334655
Median Absolute Deviation (MAD)2
Skewness-0.0280156523
Sum3709467
Variance10.6657314
MonotocityNot monotonic
2021-06-15T19:42:07.972876image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%) 
103772212.3%
 
113722712.1%
 
123423211.1%
 
133095610.1%
 
14276819.0%
 
9273848.9%
 
15248358.1%
 
16203856.6%
 
8151274.9%
 
17149004.8%
 
Other values (14)3705012.0%
 
ValueCountFrequency (%) 
040< 0.1%
 
186< 0.1%
 
23050.1%
 
312300.4%
 
420900.7%
 
ValueCountFrequency (%) 
2341< 0.1%
 
22150< 0.1%
 
214050.1%
 
2011950.4%
 
1938481.3%
 

reg_region_not_live_region
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.3 KiB
0
302843 
1
 
4656
ValueCountFrequency (%) 
030284398.5%
 
146561.5%
 

reg_region_not_work_region
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.3 KiB
0
291891 
1
 
15608
ValueCountFrequency (%) 
029189194.9%
 
1156085.1%
 

live_region_not_work_region
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.3 KiB
0
295000 
1
 
12499
ValueCountFrequency (%) 
029500095.9%
 
1124994.1%
 

reg_city_not_live_city
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.3 KiB
0
283463 
1
 
24036
ValueCountFrequency (%) 
028346392.2%
 
1240367.8%
 

reg_city_not_work_city
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.3 KiB
0
236637 
1
70862 
ValueCountFrequency (%) 
023663777.0%
 
17086223.0%
 

live_city_not_work_city
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.3 KiB
0
252289 
1
55210 
ValueCountFrequency (%) 
025228982.0%
 
15521018.0%
 

organization_type
Categorical

HIGH CARDINALITY

Distinct58
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.3 MiB
Business Entity Type 3
67989 
XNA
55374 
Self-employed
38409 
Other
16681 
Medicine
 
11192
Other values (53)
117854 
ValueCountFrequency (%) 
Business Entity Type 36798922.1%
 
XNA5537418.0%
 
Self-employed3840912.5%
 
Other166815.4%
 
Medicine111923.6%
 
Business Entity Type 2105533.4%
 
Government104033.4%
 
School88932.9%
 
Trade: type 778312.5%
 
Kindergarten68802.2%
 
Other values (48)7329423.8%
 
2021-06-15T19:42:08.619251image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ext_source_1
Real number (ℝ≥0)

MISSING

Distinct4430
Distinct (%)3.3%
Missing173374
Missing (%)56.4%
Infinite0
Infinite (%)0.0%
Mean0.501953125
Minimum0.01456451416
Maximum0.962890625
Zeros0
Zeros (%)0.0%
Memory size600.6 KiB
2021-06-15T19:42:09.707125image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.01456451416
5-th percentile0.1579589844
Q10.333984375
median0.505859375
Q30.6752929688
95-th percentile0.83203125
Maximum0.962890625
Range0.9482421875
Interquartile range (IQR)0.3413085938

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean0.501953125
Median Absolute Deviation (MAD)0.1704101562
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:42:10.593440image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.5927734375140< 0.1%
 
0.576171875129< 0.1%
 
0.5415039062126< 0.1%
 
0.6450195312122< 0.1%
 
0.5810546875120< 0.1%
 
0.6860351562120< 0.1%
 
0.720703125120< 0.1%
 
0.625120< 0.1%
 
0.630859375119< 0.1%
 
0.5400390625119< 0.1%
 
Other values (4420)13289043.2%
 
(Missing)17337456.4%
 
ValueCountFrequency (%) 
0.014564514161< 0.1%
 
0.014694213871< 0.1%
 
0.015052795411< 0.1%
 
0.015602111821< 0.1%
 
0.017089843751< 0.1%
 
ValueCountFrequency (%) 
0.9628906251< 0.1%
 
0.95166015621< 0.1%
 
0.94775390621< 0.1%
 
0.94628906252< 0.1%
 
0.94580078121< 0.1%
 

ext_source_2
Real number (ℝ≥0)

Distinct6888
Distinct (%)2.2%
Missing660
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean0.5141601562
Minimum5.960464478e-08
Maximum0.8549804688
Zeros0
Zeros (%)0.0%
Memory size600.6 KiB
2021-06-15T19:42:11.446849image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum5.960464478e-08
5-th percentile0.1333007812
Q10.392578125
median0.5659179688
Q30.6635742188
95-th percentile0.7475585938
Maximum0.8549804688
Range0.8549804688
Interquartile range (IQR)0.2709960938

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean0.5141601562
Median Absolute Deviation (MAD)0.119140625
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:42:12.153247image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.28588867197800.3%
 
0.26513671885020.2%
 
0.65869140624800.2%
 
0.65527343754760.2%
 
0.26220703124730.2%
 
0.62988281254640.2%
 
0.67968754560.1%
 
0.66699218754550.1%
 
0.6425781254530.1%
 
0.660156254500.1%
 
Other values (6878)30185098.2%
 
(Missing)6600.2%
 
ValueCountFrequency (%) 
5.960464478e-081< 0.1%
 
1.311302185e-061< 0.1%
 
5.006790161e-061< 0.1%
 
5.602836609e-061< 0.1%
 
5.960464478e-061< 0.1%
 
ValueCountFrequency (%) 
0.854980468826< 0.1%
 
0.82177734381< 0.1%
 
0.82128906251< 0.1%
 
0.82080078122< 0.1%
 
0.82031251< 0.1%
 

ext_source_3
Real number (ℝ≥0)

MISSING

Distinct814
Distinct (%)0.3%
Missing60964
Missing (%)19.8%
Infinite0
Infinite (%)0.0%
Mean0.5107421875
Minimum0.000527381897
Maximum0.8959960938
Zeros0
Zeros (%)0.0%
Memory size600.6 KiB
2021-06-15T19:42:12.716753image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.000527381897
5-th percentile0.1547851562
Q10.3706054688
median0.53515625
Q30.6689453125
95-th percentile0.7861328125
Maximum0.8959960938
Range0.8955078125
Interquartile range (IQR)0.2983398438

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean0.5107421875
Median Absolute Deviation (MAD)0.1457519531
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:42:13.210429image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.7460937514600.5%
 
0.713867187513150.4%
 
0.694335937512760.4%
 
0.670410156211910.4%
 
0.652832031211540.4%
 
0.581542968811400.4%
 
0.68945312511380.4%
 
0.595214843811360.4%
 
0.555175781211320.4%
 
0.6210937511090.4%
 
Other values (804)23448476.3%
 
(Missing)6096419.8%
 
ValueCountFrequency (%) 
0.0005273818978860.3%
 
0.011344909671< 0.1%
 
0.012718200681< 0.1%
 
0.01394653321< 0.1%
 
0.014144897461< 0.1%
 
ValueCountFrequency (%) 
0.89599609381< 0.1%
 
0.89404296882< 0.1%
 
0.88769531251< 0.1%
 
0.88525390623< 0.1%
 
0.882324218826< 0.1%
 

apartments_avg
Real number (ℝ≥0)

MISSING

Distinct2251
Distinct (%)1.5%
Missing156055
Missing (%)50.7%
Infinite0
Infinite (%)0.0%
Mean0.1174316406
Minimum0
Maximum1
Zeros751
Zeros (%)0.2%
Memory size600.6 KiB
2021-06-15T19:42:13.691226image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.008201599121
Q10.05770874023
median0.08758544922
Q30.1485595703
95-th percentile0.3269042969
Maximum1
Range1
Interquartile range (IQR)0.09085083008

Descriptive statistics

Standard deviation0.1082763672
Coefficient of variation (CV)0.921875
Kurtosisnan
Mean0.1174316406
Median Absolute Deviation (MAD)0.04327392578
Skewnessnan
Sum17792
Variance0.01171875
MonotocityNot monotonic
2021-06-15T19:42:14.200507image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.0825195312566632.2%
 
0.0618896484463322.1%
 
0.092773437544031.4%
 
0.0722045898439861.3%
 
0.00820159912135071.1%
 
0.0164947509830271.0%
 
0.103088378928920.9%
 
0.148559570327770.9%
 
0.0123977661127200.9%
 
0.0742187522310.7%
 
Other values (2241)11290636.7%
 
(Missing)15605550.7%
 
ValueCountFrequency (%) 
07510.2%
 
0.0010004043581970.1%
 
0.0013999938961< 0.1%
 
0.00150012976< 0.1%
 
0.0017004013061< 0.1%
 
ValueCountFrequency (%) 
1147< 0.1%
 
0.99072265622< 0.1%
 
0.98974609381< 0.1%
 
0.98779296887< 0.1%
 
0.98144531259< 0.1%
 

basementarea_avg
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3127
Distinct (%)2.5%
Missing179934
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean0.08843994141
Minimum0
Maximum1
Zeros14745
Zeros (%)4.8%
Memory size600.6 KiB
2021-06-15T19:42:14.658060image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.04418945312
median0.07629394531
Q30.1121826172
95-th percentile0.2237548828
Maximum1
Range1
Interquartile range (IQR)0.06799316406

Descriptive statistics

Standard deviation0.08245849609
Coefficient of variation (CV)0.9321289062
Kurtosisnan
Mean0.08843994141
Median Absolute Deviation (MAD)0.03399658203
Skewnessnan
Sum11296
Variance0.006797790527
MonotocityNot monotonic
2021-06-15T19:42:15.005190image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0147454.8%
 
0.054504394532510.1%
 
0.081787109382510.1%
 
0.072692871092480.1%
 
0.10906982422460.1%
 
0.079589843752450.1%
 
0.080017089842390.1%
 
0.080505371092300.1%
 
0.076416015622200.1%
 
0.079284667972110.1%
 
Other values (3117)11067936.0%
 
(Missing)17993458.5%
 
ValueCountFrequency (%) 
0147454.8%
 
0.000100016593999< 0.1%
 
0.000200033187938< 0.1%
 
0.00029993057258< 0.1%
 
0.000400066375733< 0.1%
 
ValueCountFrequency (%) 
1130< 0.1%
 
0.99462890621< 0.1%
 
0.96923828122< 0.1%
 
0.96826171881< 0.1%
 
0.96777343751< 0.1%
 

years_beginexpluatation_avg
Real number (ℝ≥0)

MISSING

Distinct284
Distinct (%)0.2%
Missing150001
Missing (%)48.8%
Infinite0
Infinite (%)0.0%
Mean0.9775390625
Minimum0
Maximum1
Zeros514
Zeros (%)0.2%
Memory size600.6 KiB
2021-06-15T19:42:15.486866image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.96875
Q10.9765625
median0.9814453125
Q30.9868164062
95-th percentile0.99609375
Maximum1
Range1
Interquartile range (IQR)0.01025390625

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean0.9775390625
Median Absolute Deviation (MAD)0.00537109375
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:42:15.964448image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.987304687543111.4%
 
0.985839843841891.4%
 
0.98632812541711.4%
 
0.979980468841231.3%
 
0.986816406241131.3%
 
0.984863281240961.3%
 
0.9804687540951.3%
 
0.980957031239861.3%
 
0.981445312539821.3%
 
0.982910156239691.3%
 
Other values (274)11646337.9%
 
(Missing)15000148.8%
 
ValueCountFrequency (%) 
05140.2%
 
0.017898559571< 0.1%
 
0.044708251951< 0.1%
 
0.096923828121< 0.1%
 
0.097412109381< 0.1%
 
ValueCountFrequency (%) 
11860.1%
 
0.99951171886910.2%
 
0.99902343759060.3%
 
0.998535156210620.3%
 
0.99804687510960.4%
 

years_build_avg
Real number (ℝ≥0)

MISSING

Distinct149
Distinct (%)0.1%
Missing204479
Missing (%)66.5%
Infinite0
Infinite (%)0.0%
Mean0.7524414062
Minimum0
Maximum1
Zeros102
Zeros (%)< 0.1%
Memory size600.6 KiB
2021-06-15T19:42:16.440372image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.591796875
Q10.6870117188
median0.7553710938
Q30.8232421875
95-th percentile0.9526367188
Maximum1
Range1
Interquartile range (IQR)0.1362304688

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean0.7524414062
Median Absolute Deviation (MAD)0.06787109375
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:42:16.899875image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.823242187529991.0%
 
0.8164062528630.9%
 
0.80273437528480.9%
 
0.728027343828020.9%
 
0.734863281227600.9%
 
0.809570312527550.9%
 
0.83007812527380.9%
 
0.795898437527340.9%
 
0.748535156227310.9%
 
0.769042968827110.9%
 
Other values (139)7507924.4%
 
(Missing)20447966.5%
 
ValueCountFrequency (%) 
0102< 0.1%
 
0.00040006637572< 0.1%
 
0.007198333744< 0.1%
 
0.013999938963< 0.1%
 
0.020797729491< 0.1%
 
ValueCountFrequency (%) 
11730.1%
 
0.99316406254780.2%
 
0.9863281256610.2%
 
0.97949218757860.3%
 
0.972656258130.3%
 

commonarea_avg
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2841
Distinct (%)3.1%
Missing214856
Missing (%)69.9%
Infinite0
Infinite (%)0.0%
Mean0.04461669922
Minimum0
Maximum1
Zeros8442
Zeros (%)2.7%
Memory size600.6 KiB
2021-06-15T19:42:17.559257image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.007801055908
median0.02110290527
Q30.05151367188
95-th percentile0.16015625
Maximum1
Range1
Interquartile range (IQR)0.04371261597

Descriptive statistics

Standard deviation0.07604980469
Coefficient of variation (CV)1.704101562
Kurtosisnan
Mean0.04461669922
Median Absolute Deviation (MAD)0.01728820801
Skewnessnan
Sum4132
Variance0.005779266357
MonotocityNot monotonic
2021-06-15T19:42:18.459827image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
084422.7%
 
0.007896423345440.2%
 
0.0078010559084750.2%
 
0.0080032348634460.1%
 
0.0077018737794140.1%
 
0.0085983276373650.1%
 
0.0013999938963450.1%
 
0.0069999694823430.1%
 
0.0012998580933170.1%
 
0.0069007873543140.1%
 
Other values (2831)8063826.2%
 
(Missing)21485669.9%
 
ValueCountFrequency (%) 
084422.7%
 
0.000100016593945< 0.1%
 
0.000200033187967< 0.1%
 
0.000299930572584< 0.1%
 
0.000400066375762< 0.1%
 
ValueCountFrequency (%) 
192< 0.1%
 
0.99365234382< 0.1%
 
0.99072265622< 0.1%
 
0.98339843751< 0.1%
 
0.95996093751< 0.1%
 

elevators_avg
Real number (ℝ≥0)

MISSING
ZEROS

Distinct257
Distinct (%)0.2%
Missing163885
Missing (%)53.3%
Infinite0
Infinite (%)0.0%
Mean0.07891845703
Minimum0
Maximum1
Zeros85715
Zeros (%)27.9%
Memory size600.6 KiB
2021-06-15T19:42:19.335105image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.1199951172
95-th percentile0.3601074219
Maximum1
Range1
Interquartile range (IQR)0.1199951172

Descriptive statistics

Standard deviation0.1345214844
Coefficient of variation (CV)1.704101562
Kurtosisnan
Mean0.07891845703
Median Absolute Deviation (MAD)0
Skewnessnan
Sum11336
Variance0.01811218262
MonotocityNot monotonic
2021-06-15T19:42:19.994405image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
08571527.9%
 
0.0800170898498853.2%
 
0.160034179788062.9%
 
0.239990234460712.0%
 
0.119995117255921.8%
 
0.0400085449245851.5%
 
0.199951171940721.3%
 
0.320068359427880.9%
 
0.280029296922720.7%
 
0.399902343815320.5%
 
Other values (247)122964.0%
 
(Missing)16388553.3%
 
ValueCountFrequency (%) 
08571527.9%
 
0.0020008087161< 0.1%
 
0.002399444581< 0.1%
 
0.004798889163< 0.1%
 
0.0064010620125< 0.1%
 
ValueCountFrequency (%) 
11580.1%
 
0.959960937581< 0.1%
 
0.93310546882< 0.1%
 
0.91992187520< 0.1%
 
0.89990234386< 0.1%
 

entrances_avg
Real number (ℝ≥0)

MISSING

Distinct285
Distinct (%)0.2%
Missing154822
Missing (%)50.3%
Infinite0
Infinite (%)0.0%
Mean0.1497802734
Minimum0
Maximum1
Zeros323
Zeros (%)0.1%
Memory size600.6 KiB
2021-06-15T19:42:20.951395image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.03448486328
Q10.06896972656
median0.1379394531
Q30.2069091797
95-th percentile0.3103027344
Maximum1
Range1
Interquartile range (IQR)0.1379394531

Descriptive statistics

Standard deviation0.1000976562
Coefficient of variation (CV)0.6684570312
Kurtosisnan
Mean0.1497802734
Median Absolute Deviation (MAD)0.06896972656
Skewnessnan
Sum22864
Variance0.01002502441
MonotocityNot monotonic
2021-06-15T19:42:21.905211image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.13793945313400711.1%
 
0.06896972656229567.5%
 
0.1033935547195326.4%
 
0.2069091797190616.2%
 
0.03448486328153785.0%
 
0.172363281291853.0%
 
0.275878906278942.6%
 
0.241455078141651.4%
 
0.344726562520660.7%
 
0.310302734420490.7%
 
Other values (275)163845.3%
 
(Missing)15482250.3%
 
ValueCountFrequency (%) 
03230.1%
 
0.0055007934571< 0.1%
 
0.0085983276372< 0.1%
 
0.011398315431< 0.1%
 
0.017196655277< 0.1%
 
ValueCountFrequency (%) 
1153< 0.1%
 
0.965332031225< 0.1%
 
0.931152343821< 0.1%
 
0.89648437552< 0.1%
 
0.862304687514< 0.1%
 

floorsmax_avg
Real number (ℝ≥0)

MISSING

Distinct403
Distinct (%)0.3%
Missing153014
Missing (%)49.8%
Infinite0
Infinite (%)0.0%
Mean0.2263183594
Minimum0
Maximum1
Zeros2938
Zeros (%)1.0%
Memory size600.6 KiB
2021-06-15T19:42:22.596558image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.04168701172
Q10.1667480469
median0.1667480469
Q30.3332519531
95-th percentile0.4792480469
Maximum1
Range1
Interquartile range (IQR)0.1665039062

Descriptive statistics

Standard deviation0.14453125
Coefficient of variation (CV)0.638671875
Kurtosisnan
Mean0.2263183594
Median Absolute Deviation (MAD)0.08343505859
Skewnessnan
Sum34944
Variance0.02090454102
MonotocityNot monotonic
2021-06-15T19:42:23.398446image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.16674804696187320.1%
 
0.33325195313190810.4%
 
0.04168701172145994.7%
 
0.37579262.6%
 
0.12569742.3%
 
0.0833129882865862.1%
 
029381.0%
 
0.458251953128270.9%
 
0.62519150.6%
 
0.541503906216840.5%
 
Other values (393)152555.0%
 
(Missing)15301449.8%
 
ValueCountFrequency (%) 
029381.0%
 
0.0066986083981< 0.1%
 
0.008300781253< 0.1%
 
0.010002136234< 0.1%
 
0.010398864755< 0.1%
 
ValueCountFrequency (%) 
11670.1%
 
0.97900390621< 0.1%
 
0.958496093883< 0.1%
 
0.94775390622< 0.1%
 
0.93754< 0.1%
 

floorsmin_avg
Real number (ℝ≥0)

MISSING

Distinct304
Distinct (%)0.3%
Missing208633
Missing (%)67.8%
Infinite0
Infinite (%)0.0%
Mean0.2319335938
Minimum0
Maximum1
Zeros2320
Zeros (%)0.8%
Memory size600.6 KiB
2021-06-15T19:42:24.178914image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.04168701172
Q10.08331298828
median0.2082519531
Q30.375
95-th percentile0.5
Maximum1
Range1
Interquartile range (IQR)0.2916870117

Descriptive statistics

Standard deviation0.1613769531
Coefficient of variation (CV)0.6958007812
Kurtosisnan
Mean0.2319335938
Median Absolute Deviation (MAD)0.1528320312
Skewnessnan
Sum22928
Variance0.02603149414
MonotocityNot monotonic
2021-06-15T19:42:25.031462image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.20825195313287510.7%
 
0.375178455.8%
 
0.04168701172177745.8%
 
0.0833129882850861.7%
 
0.416748046939611.3%
 
0.166748046935371.2%
 
0.12533361.1%
 
023200.8%
 
0.516880.5%
 
0.666503906211940.4%
 
Other values (294)92503.0%
 
(Missing)20863367.8%
 
ValueCountFrequency (%) 
023200.8%
 
0.0066986083983< 0.1%
 
0.010398864753< 0.1%
 
0.013801574711< 0.1%
 
0.015792846684< 0.1%
 
ValueCountFrequency (%) 
1141< 0.1%
 
0.97900390625< 0.1%
 
0.958496093810< 0.1%
 
0.94091796882< 0.1%
 
0.93017578121< 0.1%
 

landarea_avg
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3011
Distinct (%)2.4%
Missing182581
Missing (%)59.4%
Infinite0
Infinite (%)0.0%
Mean0.06634521484
Minimum0
Maximum1
Zeros15599
Zeros (%)5.1%
Memory size600.6 KiB
2021-06-15T19:42:25.513451image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01870727539
median0.04809570312
Q30.08557128906
95-th percentile0.1947021484
Maximum1
Range1
Interquartile range (IQR)0.06686401367

Descriptive statistics

Standard deviation0.08117675781
Coefficient of variation (CV)1.223632812
Kurtosisnan
Mean0.06634521484
Median Absolute Deviation (MAD)0.03219604492
Skewnessnan
Sum8288
Variance0.006587982178
MonotocityNot monotonic
2021-06-15T19:42:26.494060image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0155995.1%
 
0.063110351561890.1%
 
0.031585693361870.1%
 
0.047302246091860.1%
 
0.017395019531800.1%
 
0.023696899411750.1%
 
0.055206298831730.1%
 
0.015792846681700.1%
 
0.033111572271700.1%
 
0.014999389651650.1%
 
Other values (3001)10772435.0%
 
(Missing)18258159.4%
 
ValueCountFrequency (%) 
0155995.1%
 
0.000100016593913< 0.1%
 
0.000200033187913< 0.1%
 
0.00029993057259< 0.1%
 
0.000400066375711< 0.1%
 
ValueCountFrequency (%) 
1135< 0.1%
 
0.982910156210< 0.1%
 
0.97753906253< 0.1%
 
0.96923828121< 0.1%
 
0.94970703121< 0.1%
 

livingapartments_avg
Real number (ℝ≥0)

MISSING

Distinct1840
Distinct (%)1.9%
Missing210190
Missing (%)68.4%
Infinite0
Infinite (%)0.0%
Mean0.100769043
Minimum0
Maximum1
Zeros418
Zeros (%)0.1%
Memory size600.6 KiB
2021-06-15T19:42:27.033084image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01010131836
Q10.05041503906
median0.07562255859
Q30.1209716797
95-th percentile0.2722167969
Maximum1
Range1
Interquartile range (IQR)0.07055664062

Descriptive statistics

Standard deviation0.09259033203
Coefficient of variation (CV)0.9189453125
Kurtosisnan
Mean0.100769043
Median Absolute Deviation (MAD)0.03277587891
Skewnessnan
Sum9800
Variance0.008567810059
MonotocityNot monotonic
2021-06-15T19:42:27.522308image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.0504150390642721.4%
 
0.0671997070342311.4%
 
0.0756225585927780.9%
 
0.0588073730525860.8%
 
0.0841064453118640.6%
 
0.120971679717930.6%
 
0.00669860839816950.6%
 
0.0604858398414920.5%
 
0.100891113314560.5%
 
0.013397216814470.5%
 
Other values (1830)7369524.0%
 
(Missing)21019068.4%
 
ValueCountFrequency (%) 
04180.1%
 
0.0008001327515117< 0.1%
 
0.0012998580931< 0.1%
 
0.0017004013062500.1%
 
0.0020999908452< 0.1%
 
ValueCountFrequency (%) 
192< 0.1%
 
0.99951171883< 0.1%
 
0.9902343753< 0.1%
 
0.96386718752< 0.1%
 
0.949218754< 0.1%
 

livingarea_avg
Real number (ℝ≥0)

MISSING

Distinct3715
Distinct (%)2.4%
Missing154344
Missing (%)50.2%
Infinite0
Infinite (%)0.0%
Mean0.107421875
Minimum0
Maximum1
Zeros284
Zeros (%)0.1%
Memory size600.6 KiB
2021-06-15T19:42:28.025447image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.008201599121
Q10.04528808594
median0.07452392578
Q30.1298828125
95-th percentile0.3205566406
Maximum1
Range1
Interquartile range (IQR)0.08459472656

Descriptive statistics

Standard deviation0.1105957031
Coefficient of variation (CV)1.029296875
Kurtosisnan
Mean0.107421875
Median Absolute Deviation (MAD)0.03890991211
Skewnessnan
Sum16464
Variance0.01223754883
MonotocityNot monotonic
2021-06-15T19:42:28.567111image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02840.1%
 
0.051208496092430.1%
 
0.050994873052230.1%
 
0.070190429692230.1%
 
0.050903320312210.1%
 
0.053802490232200.1%
 
0.063781738282150.1%
 
0.051300048832100.1%
 
0.051086425782090.1%
 
0.062622070312050.1%
 
Other values (3705)15090249.1%
 
(Missing)15434450.2%
 
ValueCountFrequency (%) 
02840.1%
 
0.00010001659394< 0.1%
 
0.00020003318798< 0.1%
 
0.000299930572510< 0.1%
 
0.000400066375714< 0.1%
 
ValueCountFrequency (%) 
1150< 0.1%
 
0.99853515621< 0.1%
 
0.99755859381< 0.1%
 
0.98925781251< 0.1%
 
0.98583984381< 0.1%
 

nonlivingapartments_avg
Real number (ℝ≥0)

MISSING
ZEROS

Distinct386
Distinct (%)0.4%
Missing213505
Missing (%)69.4%
Infinite0
Infinite (%)0.0%
Mean0.008811950684
Minimum0
Maximum1
Zeros54547
Zeros (%)17.7%
Memory size600.6 KiB
2021-06-15T19:42:29.138317image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.003900527954
95-th percentile0.03089904785
Maximum1
Range1
Interquartile range (IQR)0.003900527954

Descriptive statistics

Standard deviation0.04772949219
Coefficient of variation (CV)5.41796875
Kurtosisnan
Mean0.008811950684
Median Absolute Deviation (MAD)0
Skewnessnan
Sum827.5
Variance0.002279281616
MonotocityNot monotonic
2021-06-15T19:42:29.580493image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
05454717.7%
 
0.003900527954136054.4%
 
0.00770187377963512.1%
 
0.0115966796937141.2%
 
0.0154037475625330.8%
 
0.0193023681616730.5%
 
0.00189971923812500.4%
 
0.0231933593811950.4%
 
0.026992797858650.3%
 
0.030899047857170.2%
 
Other values (376)75442.5%
 
(Missing)21350569.4%
 
ValueCountFrequency (%) 
05454717.7%
 
0.00020003318791< 0.1%
 
0.00029993057255< 0.1%
 
0.000400066375725< 0.1%
 
0.0005002021796< 0.1%
 
ValueCountFrequency (%) 
197< 0.1%
 
0.996093752< 0.1%
 
0.99218754< 0.1%
 
0.988281251< 0.1%
 
0.97314453123< 0.1%
 

nonlivingarea_avg
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2885
Distinct (%)2.1%
Missing169676
Missing (%)55.2%
Infinite0
Infinite (%)0.0%
Mean0.02835083008
Minimum0
Maximum1
Zeros58733
Zeros (%)19.1%
Memory size600.6 KiB
2021-06-15T19:42:30.065488image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.00359916687
Q30.02769470215
95-th percentile0.1279296875
Maximum1
Range1
Interquartile range (IQR)0.02769470215

Descriptive statistics

Standard deviation0.06951904297
Coefficient of variation (CV)2.451171875
Kurtosisnan
Mean0.02835083008
Median Absolute Deviation (MAD)0.00359916687
Skewnessnan
Sum3906
Variance0.004837036133
MonotocityNot monotonic
2021-06-15T19:42:30.633181image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
05873319.1%
 
0.001199722295460.2%
 
0.0043983459474530.1%
 
0.0021991729744400.1%
 
0.0030994415284140.1%
 
0.0010995864874050.1%
 
0.0010004043584050.1%
 
0.003599166873990.1%
 
0.0030002593993970.1%
 
0.002399444583950.1%
 
Other values (2875)7523624.5%
 
(Missing)16967655.2%
 
ValueCountFrequency (%) 
05873319.1%
 
0.00010001659391630.1%
 
0.0002000331879107< 0.1%
 
0.000299930572595< 0.1%
 
0.00040006637571620.1%
 
ValueCountFrequency (%) 
1136< 0.1%
 
0.99560546881< 0.1%
 
0.9824218751< 0.1%
 
0.97656251< 0.1%
 
0.9589843753< 0.1%
 

apartments_mode
Real number (ℝ≥0)

MISSING

Distinct760
Distinct (%)0.5%
Missing156055
Missing (%)50.7%
Infinite0
Infinite (%)0.0%
Mean0.1142578125
Minimum0
Maximum1
Zeros976
Zeros (%)0.3%
Memory size600.6 KiB
2021-06-15T19:42:31.473290image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.008399963379
Q10.05249023438
median0.083984375
Q30.1439208984
95-th percentile0.3193359375
Maximum1
Range1
Interquartile range (IQR)0.09143066406

Descriptive statistics

Standard deviation0.1080322266
Coefficient of variation (CV)0.9453125
Kurtosisnan
Mean0.1142578125
Median Absolute Deviation (MAD)0.04211425781
Skewnessnan
Sum17280
Variance0.01166534424
MonotocityNot monotonic
2021-06-15T19:42:31.922669image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.08398437575222.4%
 
0.0629882812574512.4%
 
0.0944824218847561.5%
 
0.0734863281243881.4%
 
0.00839996337939701.3%
 
0.0167999267633241.1%
 
0.104980468831161.0%
 
0.151245117230391.0%
 
0.0126037597730331.0%
 
0.0756225585929731.0%
 
Other values (750)10787235.1%
 
(Missing)15605550.7%
 
ValueCountFrequency (%) 
09760.3%
 
0.0010995864872850.1%
 
0.00209999084510060.3%
 
0.0032005310064310.1%
 
0.00419998168910690.3%
 
ValueCountFrequency (%) 
1150< 0.1%
 
0.99902343751< 0.1%
 
0.99462890621< 0.1%
 
0.988281251< 0.1%
 
0.98535156251< 0.1%
 

basementarea_mode
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3148
Distinct (%)2.5%
Missing179934
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean0.08752441406
Minimum0
Maximum1
Zeros16598
Zeros (%)5.4%
Memory size600.6 KiB
2021-06-15T19:42:32.415665image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.04071044922
median0.07458496094
Q30.1124267578
95-th percentile0.2276611328
Maximum1
Range1
Interquartile range (IQR)0.07171630859

Descriptive statistics

Standard deviation0.08435058594
Coefficient of variation (CV)0.9638671875
Kurtosisnan
Mean0.08752441406
Median Absolute Deviation (MAD)0.03582763672
Skewnessnan
Sum11168
Variance0.007110595703
MonotocityNot monotonic
2021-06-15T19:42:32.962733image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0165985.4%
 
0.056610107422690.1%
 
0.084899902342650.1%
 
0.064208984382530.1%
 
0.08300781252510.1%
 
0.11322021482430.1%
 
0.079223632812410.1%
 
0.082580566412380.1%
 
0.067871093752220.1%
 
0.075500488282150.1%
 
Other values (3138)10877035.4%
 
(Missing)17993458.5%
 
ValueCountFrequency (%) 
0165985.4%
 
0.0001000165939105< 0.1%
 
0.000200033187941< 0.1%
 
0.000299930572510< 0.1%
 
0.000400066375733< 0.1%
 
ValueCountFrequency (%) 
1133< 0.1%
 
0.99121093752< 0.1%
 
0.9843752< 0.1%
 
0.9785156254< 0.1%
 
0.95800781251< 0.1%
 

years_beginexpluatation_mode
Real number (ℝ≥0)

MISSING

Distinct221
Distinct (%)0.1%
Missing150001
Missing (%)48.8%
Infinite0
Infinite (%)0.0%
Mean0.9770507812
Minimum0
Maximum1
Zeros142
Zeros (%)< 0.1%
Memory size600.6 KiB
2021-06-15T19:42:33.441257image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9682617188
Q10.9765625
median0.9814453125
Q30.9868164062
95-th percentile0.99609375
Maximum1
Range1
Interquartile range (IQR)0.01025390625

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean0.9770507812
Median Absolute Deviation (MAD)0.00537109375
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:42:33.986672image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.987304687542911.4%
 
0.986816406241721.4%
 
0.98632812541671.4%
 
0.979980468841101.3%
 
0.9804687540831.3%
 
0.985839843840751.3%
 
0.984863281240161.3%
 
0.981445312539761.3%
 
0.979492187539731.3%
 
0.979003906239351.3%
 
Other values (211)11670038.0%
 
(Missing)15000148.8%
 
ValueCountFrequency (%) 
0142< 0.1%
 
0.0005002021795250.2%
 
0.018402099611< 0.1%
 
0.04519653321< 0.1%
 
0.097290039061< 0.1%
 
ValueCountFrequency (%) 
12110.1%
 
0.99951171887020.2%
 
0.99902343759150.3%
 
0.998535156210530.3%
 
0.99804687510650.3%
 

years_build_mode
Real number (ℝ≥0)

MISSING

Distinct154
Distinct (%)0.1%
Missing204479
Missing (%)66.5%
Infinite0
Infinite (%)0.0%
Mean0.759765625
Minimum0
Maximum1
Zeros103
Zeros (%)< 0.1%
Memory size600.6 KiB
2021-06-15T19:42:34.461719image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6079101562
Q10.69921875
median0.7646484375
Q30.8237304688
95-th percentile0.9541015625
Maximum1
Range1
Interquartile range (IQR)0.1245117188

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean0.759765625
Median Absolute Deviation (MAD)0.0654296875
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:42:34.947585image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.83007812529601.0%
 
0.823730468828780.9%
 
0.738769531227890.9%
 
0.816894531227630.9%
 
0.81054687527550.9%
 
0.745117187527370.9%
 
0.836914062527110.9%
 
0.804199218827070.9%
 
0.758300781227040.9%
 
0.777832031226880.9%
 
Other values (144)7532824.5%
 
(Missing)20447966.5%
 
ValueCountFrequency (%) 
0103< 0.1%
 
0.00029993057253< 0.1%
 
0.01339721682< 0.1%
 
0.019897460942< 0.1%
 
0.02650451662< 0.1%
 
ValueCountFrequency (%) 
11830.1%
 
0.99365234384870.2%
 
0.98681640626530.2%
 
0.980468757910.3%
 
0.97412109387790.3%
 

commonarea_mode
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2808
Distinct (%)3.0%
Missing214856
Missing (%)69.9%
Infinite0
Infinite (%)0.0%
Mean0.04254150391
Minimum0
Maximum1
Zeros9690
Zeros (%)3.2%
Memory size600.6 KiB
2021-06-15T19:42:35.447752image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.00719833374
median0.01899719238
Q30.04901123047
95-th percentile0.1531982422
Maximum1
Range1
Interquartile range (IQR)0.04181289673

Descriptive statistics

Standard deviation0.07446289062
Coefficient of variation (CV)1.75
Kurtosisnan
Mean0.04254150391
Median Absolute Deviation (MAD)0.01640319824
Skewnessnan
Sum3942
Variance0.005546569824
MonotocityNot monotonic
2021-06-15T19:42:36.003507image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
096903.2%
 
0.0080032348635460.2%
 
0.007896423345430.2%
 
0.0078010559085180.2%
 
0.0081024169924160.1%
 
0.0086975097663970.1%
 
0.0013999938963940.1%
 
0.0069999694823630.1%
 
0.0070991516113410.1%
 
0.001199722293320.1%
 
Other values (2798)7910325.7%
 
(Missing)21485669.9%
 
ValueCountFrequency (%) 
096903.2%
 
0.000100016593960< 0.1%
 
0.000200033187952< 0.1%
 
0.000299930572568< 0.1%
 
0.000400066375763< 0.1%
 
ValueCountFrequency (%) 
189< 0.1%
 
0.99951171882< 0.1%
 
0.99218751< 0.1%
 
0.968751< 0.1%
 
0.96386718751< 0.1%
 

elevators_mode
Real number (ℝ≥0)

MISSING
ZEROS

Distinct26
Distinct (%)< 0.1%
Missing163885
Missing (%)53.3%
Infinite0
Infinite (%)0.0%
Mean0.07452392578
Minimum0
Maximum1
Zeros89495
Zeros (%)29.1%
Memory size600.6 KiB
2021-06-15T19:42:36.455578image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.1207885742
95-th percentile0.322265625
Maximum1
Range1
Interquartile range (IQR)0.1207885742

Descriptive statistics

Standard deviation0.1323242188
Coefficient of variation (CV)1.775390625
Kurtosisnan
Mean0.07452392578
Median Absolute Deviation (MAD)0
Skewnessnan
Sum10696
Variance0.01750183105
MonotocityNot monotonic
2021-06-15T19:42:36.877689image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%) 
08949529.1%
 
0.08062744141116283.8%
 
0.161132812596753.1%
 
0.241699218863792.1%
 
0.120788574257331.9%
 
0.040313720748761.6%
 
0.201416015639621.3%
 
0.32226562528860.9%
 
0.281982421921350.7%
 
0.402832031215540.5%
 
Other values (16)52911.7%
 
(Missing)16388553.3%
 
ValueCountFrequency (%) 
08949529.1%
 
0.040313720748761.6%
 
0.08062744141116283.8%
 
0.120788574257331.9%
 
0.161132812596753.1%
 
ValueCountFrequency (%) 
1144< 0.1%
 
0.96679687587< 0.1%
 
0.926269531220< 0.1%
 
0.886230468866< 0.1%
 
0.84570312534< 0.1%
 

entrances_mode
Real number (ℝ≥0)

MISSING

Distinct30
Distinct (%)< 0.1%
Missing154822
Missing (%)50.3%
Infinite0
Infinite (%)0.0%
Mean0.1451416016
Minimum0
Maximum1
Zeros387
Zeros (%)0.1%
Memory size600.6 KiB
2021-06-15T19:42:37.293570image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.03448486328
Q10.06896972656
median0.1379394531
Q30.2069091797
95-th percentile0.3103027344
Maximum1
Range1
Interquartile range (IQR)0.1379394531

Descriptive statistics

Standard deviation0.1010131836
Coefficient of variation (CV)0.6958007812
Kurtosisnan
Mean0.1451416016
Median Absolute Deviation (MAD)0.06896972656
Skewnessnan
Sum22160
Variance0.01020812988
MonotocityNot monotonic
2021-06-15T19:42:37.685437image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%) 
0.13793945313604011.7%
 
0.06896972656267048.7%
 
0.1033935547205326.7%
 
0.2069091797196776.4%
 
0.03448486328194266.3%
 
0.172363281289862.9%
 
0.275878906280352.6%
 
0.241455078140131.3%
 
0.344726562520460.7%
 
0.310302734420140.7%
 
Other values (20)52041.7%
 
(Missing)15482250.3%
 
ValueCountFrequency (%) 
03870.1%
 
0.03448486328194266.3%
 
0.06896972656267048.7%
 
0.1033935547205326.7%
 
0.13793945313604011.7%
 
ValueCountFrequency (%) 
1152< 0.1%
 
0.965332031225< 0.1%
 
0.931152343821< 0.1%
 
0.89648437552< 0.1%
 
0.862304687514< 0.1%
 

floorsmax_mode
Real number (ℝ≥0)

MISSING
ZEROS

Distinct25
Distinct (%)< 0.1%
Missing153014
Missing (%)49.8%
Infinite0
Infinite (%)0.0%
Mean0.2222900391
Minimum0
Maximum1
Zeros3415
Zeros (%)1.1%
Memory size600.6 KiB
2021-06-15T19:42:38.129410image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.04168701172
Q10.1667480469
median0.1667480469
Q30.3332519531
95-th percentile0.4582519531
Maximum1
Range1
Interquartile range (IQR)0.1665039062

Descriptive statistics

Standard deviation0.1436767578
Coefficient of variation (CV)0.646484375
Kurtosisnan
Mean0.2222900391
Median Absolute Deviation (MAD)0.08343505859
Skewnessnan
Sum34336
Variance0.0206451416
MonotocityNot monotonic
2021-06-15T19:42:38.569592image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%) 
0.16674804696554821.3%
 
0.33325195313437211.2%
 
0.04168701172156155.1%
 
0.37583212.7%
 
0.12572672.4%
 
0.0833129882867852.2%
 
034151.1%
 
0.458251953132151.0%
 
0.62520750.7%
 
0.541503906218350.6%
 
Other values (15)60372.0%
 
(Missing)15301449.8%
 
ValueCountFrequency (%) 
034151.1%
 
0.04168701172156155.1%
 
0.0833129882867852.2%
 
0.12572672.4%
 
0.16674804696554821.3%
 
ValueCountFrequency (%) 
11640.1%
 
0.958496093894< 0.1%
 
0.916503906238< 0.1%
 
0.8752290.1%
 
0.833496093822< 0.1%
 

floorsmin_mode
Real number (ℝ≥0)

MISSING

Distinct25
Distinct (%)< 0.1%
Missing208633
Missing (%)67.8%
Infinite0
Infinite (%)0.0%
Mean0.2280273438
Minimum0
Maximum1
Zeros2517
Zeros (%)0.8%
Memory size600.6 KiB
2021-06-15T19:42:38.961732image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.04168701172
Q10.08331298828
median0.2082519531
Q30.375
95-th percentile0.5
Maximum1
Range1
Interquartile range (IQR)0.2916870117

Descriptive statistics

Standard deviation0.1611328125
Coefficient of variation (CV)0.7065429688
Kurtosisnan
Mean0.2280273438
Median Absolute Deviation (MAD)0.1665039062
Skewnessnan
Sum22560
Variance0.02597045898
MonotocityNot monotonic
2021-06-15T19:42:39.378859image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%) 
0.20825195313440311.2%
 
0.375190426.2%
 
0.04168701172189156.2%
 
0.0833129882853491.7%
 
0.416748046941051.3%
 
0.166748046936361.2%
 
0.12531701.0%
 
025170.8%
 
0.518890.6%
 
0.666503906212640.4%
 
Other values (15)45761.5%
 
(Missing)20863367.8%
 
ValueCountFrequency (%) 
025170.8%
 
0.04168701172189156.2%
 
0.0833129882853491.7%
 
0.12531701.0%
 
0.166748046936361.2%
 
ValueCountFrequency (%) 
1141< 0.1%
 
0.958496093817< 0.1%
 
0.9165039062131< 0.1%
 
0.8759< 0.1%
 
0.833496093822< 0.1%
 

landarea_mode
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3031
Distinct (%)2.4%
Missing182581
Missing (%)59.4%
Infinite0
Infinite (%)0.0%
Mean0.06494140625
Minimum0
Maximum1
Zeros17452
Zeros (%)5.7%
Memory size600.6 KiB
2021-06-15T19:42:39.828834image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0166015625
median0.04580688477
Q30.08410644531
95-th percentile0.1955566406
Maximum1
Range1
Interquartile range (IQR)0.06750488281

Descriptive statistics

Standard deviation0.08172607422
Coefficient of variation (CV)1.258789062
Kurtosisnan
Mean0.06494140625
Median Absolute Deviation (MAD)0.03201293945
Skewnessnan
Sum8112
Variance0.006679534912
MonotocityNot monotonic
2021-06-15T19:42:40.339861image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0174525.7%
 
0.01939392092080.1%
 
0.064514160161930.1%
 
0.048400878911920.1%
 
0.032287597661880.1%
 
0.014701843261780.1%
 
0.011100769041750.1%
 
0.014396667481750.1%
 
0.02580261231730.1%
 
0.024200439451720.1%
 
Other values (3021)10581234.4%
 
(Missing)18258159.4%
 
ValueCountFrequency (%) 
0174525.7%
 
0.000100016593924< 0.1%
 
0.000200033187914< 0.1%
 
0.00029993057256< 0.1%
 
0.000400066375714< 0.1%
 
ValueCountFrequency (%) 
1129< 0.1%
 
0.99121093751< 0.1%
 
0.97119140621< 0.1%
 
0.96630859382< 0.1%
 
0.95849609383< 0.1%
 

livingapartments_mode
Real number (ℝ≥0)

MISSING

Distinct736
Distinct (%)0.8%
Missing210190
Missing (%)68.4%
Infinite0
Infinite (%)0.0%
Mean0.1056518555
Minimum0
Maximum1
Zeros519
Zeros (%)0.2%
Memory size600.6 KiB
2021-06-15T19:42:40.928850image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01100158691
Q10.05419921875
median0.07708740234
Q30.1313476562
95-th percentile0.294921875
Maximum1
Range1
Interquartile range (IQR)0.0771484375

Descriptive statistics

Standard deviation0.09790039062
Coefficient of variation (CV)0.9267578125
Kurtosisnan
Mean0.1056518555
Median Absolute Deviation (MAD)0.03387451172
Skewnessnan
Sum10280
Variance0.009582519531
MonotocityNot monotonic
2021-06-15T19:42:41.543991image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.0551147460949311.6%
 
0.0734863281247971.6%
 
0.0825805664129661.0%
 
0.0642700195328530.9%
 
0.09179687520690.7%
 
0.132202148419720.6%
 
0.0661010742219300.6%
 
0.00730133056618830.6%
 
0.0147018432615850.5%
 
0.0588073730515190.5%
 
Other values (726)7080423.0%
 
(Missing)21019068.4%
 
ValueCountFrequency (%) 
05190.2%
 
0.00089979171751560.1%
 
0.0017995834352950.1%
 
0.002799987793146< 0.1%
 
0.0037002563484130.1%
 
ValueCountFrequency (%) 
194< 0.1%
 
0.9824218751< 0.1%
 
0.98144531252< 0.1%
 
0.97802734381< 0.1%
 
0.97607421881< 0.1%
 

livingarea_mode
Real number (ℝ≥0)

MISSING

Distinct3746
Distinct (%)2.4%
Missing154344
Missing (%)50.2%
Infinite0
Infinite (%)0.0%
Mean0.1059570312
Minimum0
Maximum1
Zeros444
Zeros (%)0.1%
Memory size600.6 KiB
2021-06-15T19:42:42.097387image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.00789642334
Q10.0426940918
median0.07312011719
Q30.1252441406
95-th percentile0.3229980469
Maximum1
Range1
Interquartile range (IQR)0.08255004883

Descriptive statistics

Standard deviation0.1118774414
Coefficient of variation (CV)1.055664062
Kurtosisnan
Mean0.1059570312
Median Absolute Deviation (MAD)0.03912353516
Skewnessnan
Sum16224
Variance0.01251220703
MonotocityNot monotonic
2021-06-15T19:42:42.535444image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
04440.1%
 
0.05300903322720.1%
 
0.053192138672620.1%
 
0.052886962892490.1%
 
0.053314208982420.1%
 
0.056091308592240.1%
 
0.065612792972240.1%
 
0.073425292972230.1%
 
0.053588867192220.1%
 
0.052490234382200.1%
 
Other values (3736)15057349.0%
 
(Missing)15434450.2%
 
ValueCountFrequency (%) 
04440.1%
 
0.00010001659397< 0.1%
 
0.00020003318797< 0.1%
 
0.000299930572516< 0.1%
 
0.000400066375724< 0.1%
 
ValueCountFrequency (%) 
1150< 0.1%
 
0.99511718753< 0.1%
 
0.992187513< 0.1%
 
0.98876953122< 0.1%
 
0.98681640621< 0.1%
 

nonlivingapartments_mode
Real number (ℝ≥0)

MISSING
ZEROS

Distinct167
Distinct (%)0.2%
Missing213505
Missing (%)69.4%
Infinite0
Infinite (%)0.0%
Mean0.008079528809
Minimum0
Maximum1
Zeros59253
Zeros (%)19.3%
Memory size600.6 KiB
2021-06-15T19:42:43.728207image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.003900527954
95-th percentile0.0272064209
Maximum1
Range1
Interquartile range (IQR)0.003900527954

Descriptive statistics

Standard deviation0.04629516602
Coefficient of variation (CV)5.73046875
Kurtosisnan
Mean0.008079528809
Median Absolute Deviation (MAD)0
Skewnessnan
Sum759
Variance0.002141952515
MonotocityNot monotonic
2021-06-15T19:42:44.416097image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
05925319.3%
 
0.003900527954141044.6%
 
0.00780105590864132.1%
 
0.0117034912136751.2%
 
0.0156021118224920.8%
 
0.0195007324216530.5%
 
0.023300170911770.4%
 
0.02720642098400.3%
 
0.031097412117110.2%
 
0.035003662115270.2%
 
Other values (157)31491.0%
 
(Missing)21350569.4%
 
ValueCountFrequency (%) 
05925319.3%
 
0.003900527954141044.6%
 
0.00780105590864132.1%
 
0.0117034912136751.2%
 
0.0156021118224920.8%
 
ValueCountFrequency (%) 
1100< 0.1%
 
0.996093751< 0.1%
 
0.980468753< 0.1%
 
0.964843752< 0.1%
 
0.9531252< 0.1%
 

nonlivingarea_mode
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2924
Distinct (%)2.1%
Missing169676
Missing (%)55.2%
Infinite0
Infinite (%)0.0%
Mean0.02702331543
Minimum0
Maximum1
Zeros67124
Zeros (%)21.8%
Memory size600.6 KiB
2021-06-15T19:42:45.016679image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.001099586487
Q30.02310180664
95-th percentile0.1293945312
Maximum1
Range1
Interquartile range (IQR)0.02310180664

Descriptive statistics

Standard deviation0.0703125
Coefficient of variation (CV)2.6015625
Kurtosisnan
Mean0.02702331543
Median Absolute Deviation (MAD)0.001099586487
Skewnessnan
Sum3724
Variance0.004940032959
MonotocityNot monotonic
2021-06-15T19:42:45.565564image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
06712421.8%
 
0.0010995864874770.2%
 
0.0046005249024650.2%
 
0.0032997131354290.1%
 
0.001199722294270.1%
 
0.0023002624514260.1%
 
0.0012998580934100.1%
 
0.0030002593993700.1%
 
0.0055007934573630.1%
 
0.0037002563483570.1%
 
Other values (2914)6697521.8%
 
(Missing)16967655.2%
 
ValueCountFrequency (%) 
06712421.8%
 
0.0001000165939123< 0.1%
 
0.0002000331879125< 0.1%
 
0.000299930572561< 0.1%
 
0.000400066375790< 0.1%
 
ValueCountFrequency (%) 
1135< 0.1%
 
0.98779296881< 0.1%
 
0.98535156251< 0.1%
 
0.98388671885< 0.1%
 
0.97509765621< 0.1%
 

apartments_medi
Real number (ℝ≥0)

MISSING

Distinct1148
Distinct (%)0.8%
Missing156055
Missing (%)50.7%
Infinite0
Infinite (%)0.0%
Mean0.1178588867
Minimum0
Maximum1
Zeros771
Zeros (%)0.3%
Memory size600.6 KiB
2021-06-15T19:42:46.104822image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.00830078125
Q10.05828857422
median0.08642578125
Q30.1489257812
95-th percentile0.330078125
Maximum1
Range1
Interquartile range (IQR)0.09063720703

Descriptive statistics

Standard deviation0.1091308594
Coefficient of variation (CV)0.92578125
Kurtosisnan
Mean0.1178588867
Median Absolute Deviation (MAD)0.04370117188
Skewnessnan
Sum17840
Variance0.01190948486
MonotocityNot monotonic
2021-06-15T19:42:46.688224image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.0833129882871092.3%
 
0.062566872.2%
 
0.0936889648446211.5%
 
0.0728759765642111.4%
 
0.0083007812535621.2%
 
0.0166931152330981.0%
 
0.104125976630971.0%
 
0.149902343829921.0%
 
0.0124969482428000.9%
 
0.0748901367225590.8%
 
Other values (1138)11070836.0%
 
(Missing)15605550.7%
 
ValueCountFrequency (%) 
07710.3%
 
0.0010004043581990.1%
 
0.0016002655036< 0.1%
 
0.0020999908458080.3%
 
0.00259971618713< 0.1%
 
ValueCountFrequency (%) 
1142< 0.1%
 
0.99951171881< 0.1%
 
0.99707031257< 0.1%
 
0.99121093759< 0.1%
 
0.98974609381< 0.1%
 

basementarea_medi
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3121
Distinct (%)2.4%
Missing179934
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean0.08795166016
Minimum0
Maximum1
Zeros14991
Zeros (%)4.9%
Memory size600.6 KiB
2021-06-15T19:42:47.328257image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.04370117188
median0.07580566406
Q30.1115722656
95-th percentile0.2231445312
Maximum1
Range1
Interquartile range (IQR)0.06787109375

Descriptive statistics

Standard deviation0.08221435547
Coefficient of variation (CV)0.9345703125
Kurtosisnan
Mean0.08795166016
Median Absolute Deviation (MAD)0.03399658203
Skewnessnan
Sum11224
Variance0.006755828857
MonotocityNot monotonic
2021-06-15T19:42:47.892792image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0149914.9%
 
0.081787109382710.1%
 
0.10906982422660.1%
 
0.054504394532650.1%
 
0.072692871092480.1%
 
0.079589843752460.1%
 
0.080017089842400.1%
 
0.080505371092340.1%
 
0.065490722662210.1%
 
0.079711914062090.1%
 
Other values (3111)11037435.9%
 
(Missing)17993458.5%
 
ValueCountFrequency (%) 
0149914.9%
 
0.0001000165939106< 0.1%
 
0.000200033187939< 0.1%
 
0.00029993057258< 0.1%
 
0.000400066375731< 0.1%
 
ValueCountFrequency (%) 
1130< 0.1%
 
0.99462890621< 0.1%
 
0.96923828122< 0.1%
 
0.96826171881< 0.1%
 
0.96777343751< 0.1%
 

years_beginexpluatation_medi
Real number (ℝ≥0)

MISSING

Distinct244
Distinct (%)0.2%
Missing150001
Missing (%)48.8%
Infinite0
Infinite (%)0.0%
Mean0.9775390625
Minimum0
Maximum1
Zeros548
Zeros (%)0.2%
Memory size600.6 KiB
2021-06-15T19:42:48.413321image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.96875
Q10.9765625
median0.9814453125
Q30.9868164062
95-th percentile0.99609375
Maximum1
Range1
Interquartile range (IQR)0.01025390625

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean0.9775390625
Median Absolute Deviation (MAD)0.00537109375
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:42:49.014292image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.987304687543141.4%
 
0.98632812542471.4%
 
0.985839843841991.4%
 
0.986816406241371.3%
 
0.979980468841151.3%
 
0.9804687540681.3%
 
0.984863281240321.3%
 
0.979492187539631.3%
 
0.987792968839481.3%
 
0.981445312539301.3%
 
Other values (234)11654537.9%
 
(Missing)15000148.8%
 
ValueCountFrequency (%) 
05480.2%
 
0.017898559571< 0.1%
 
0.044708251951< 0.1%
 
0.096923828121< 0.1%
 
0.097412109381< 0.1%
 
ValueCountFrequency (%) 
12060.1%
 
0.99951171887170.2%
 
0.99902343759260.3%
 
0.998535156210730.3%
 
0.99804687511140.4%
 

years_build_medi
Real number (ℝ≥0)

MISSING

Distinct151
Distinct (%)0.1%
Missing204479
Missing (%)66.5%
Infinite0
Infinite (%)0.0%
Mean0.755859375
Minimum0
Maximum1
Zeros101
Zeros (%)< 0.1%
Memory size600.6 KiB
2021-06-15T19:42:49.648817image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.59765625
Q10.69140625
median0.7583007812
Q30.8256835938
95-th percentile0.953125
Maximum1
Range1
Interquartile range (IQR)0.1342773438

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean0.755859375
Median Absolute Deviation (MAD)0.06689453125
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:42:50.305037image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.825683593829941.0%
 
0.818847656228820.9%
 
0.805175781228420.9%
 
0.731445312527990.9%
 
0.812011718827840.9%
 
0.832519531227400.9%
 
0.7382812527380.9%
 
0.79882812527000.9%
 
0.75195312526870.9%
 
0.771972656226850.9%
 
Other values (141)7516924.4%
 
(Missing)20447966.5%
 
ValueCountFrequency (%) 
0101< 0.1%
 
0.00029993057252< 0.1%
 
0.0070991516111< 0.1%
 
0.013801574712< 0.1%
 
0.020492553713< 0.1%
 
ValueCountFrequency (%) 
11820.1%
 
0.99316406254940.2%
 
0.98681640626650.2%
 
0.97998046888020.3%
 
0.97314453128190.3%
 

commonarea_medi
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2849
Distinct (%)3.1%
Missing214856
Missing (%)69.9%
Infinite0
Infinite (%)0.0%
Mean0.04458618164
Minimum0
Maximum1
Zeros8691
Zeros (%)2.8%
Memory size600.6 KiB
2021-06-15T19:42:50.971058image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.00789642334
median0.02079772949
Q30.05130004883
95-th percentile0.1608886719
Maximum1
Range1
Interquartile range (IQR)0.04340362549

Descriptive statistics

Standard deviation0.076171875
Coefficient of variation (CV)1.708007812
Kurtosisnan
Mean0.04458618164
Median Absolute Deviation (MAD)0.01719665527
Skewnessnan
Sum4132
Variance0.005802154541
MonotocityNot monotonic
2021-06-15T19:42:51.532108image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
086912.8%
 
0.007896423345810.2%
 
0.0080032348634860.2%
 
0.0078010559084810.2%
 
0.0013999938963770.1%
 
0.0085983276373760.1%
 
0.0081024169923370.1%
 
0.0070991516113360.1%
 
0.0086975097663090.1%
 
0.001199722293080.1%
 
Other values (2839)8036126.1%
 
(Missing)21485669.9%
 
ValueCountFrequency (%) 
086912.8%
 
0.000100016593957< 0.1%
 
0.000200033187949< 0.1%
 
0.000299930572573< 0.1%
 
0.000400066375763< 0.1%
 
ValueCountFrequency (%) 
190< 0.1%
 
0.99707031252< 0.1%
 
0.98974609381< 0.1%
 
0.96630859381< 0.1%
 
0.96142578121< 0.1%
 

elevators_medi
Real number (ℝ≥0)

MISSING
ZEROS

Distinct46
Distinct (%)< 0.1%
Missing163885
Missing (%)53.3%
Infinite0
Infinite (%)0.0%
Mean0.07806396484
Minimum0
Maximum1
Zeros87023
Zeros (%)28.3%
Memory size600.6 KiB
2021-06-15T19:42:51.976689image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.1199951172
95-th percentile0.3601074219
Maximum1
Range1
Interquartile range (IQR)0.1199951172

Descriptive statistics

Standard deviation0.1345214844
Coefficient of variation (CV)1.723632812
Kurtosisnan
Mean0.07806396484
Median Absolute Deviation (MAD)0
Skewnessnan
Sum11216
Variance0.01808166504
MonotocityNot monotonic
2021-06-15T19:42:52.403640image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%) 
08702328.3%
 
0.08001708984108313.5%
 
0.160034179792783.0%
 
0.239990234463922.1%
 
0.119995117259451.9%
 
0.0400085449248521.6%
 
0.199951171941621.4%
 
0.320068359429371.0%
 
0.280029296923170.8%
 
0.399902343816040.5%
 
Other values (36)82732.7%
 
(Missing)16388553.3%
 
ValueCountFrequency (%) 
08702328.3%
 
0.020004272463680.1%
 
0.0400085449248521.6%
 
0.059997558593880.1%
 
0.08001708984108313.5%
 
ValueCountFrequency (%) 
11580.1%
 
0.959960937581< 0.1%
 
0.91992187520< 0.1%
 
0.89990234386< 0.1%
 
0.879882812568< 0.1%
 

entrances_medi
Real number (ℝ≥0)

MISSING

Distinct46
Distinct (%)< 0.1%
Missing154822
Missing (%)50.3%
Infinite0
Infinite (%)0.0%
Mean0.1491699219
Minimum0
Maximum1
Zeros329
Zeros (%)0.1%
Memory size600.6 KiB
2021-06-15T19:42:53.153627image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.03448486328
Q10.06896972656
median0.1379394531
Q30.2069091797
95-th percentile0.3103027344
Maximum1
Range1
Interquartile range (IQR)0.1379394531

Descriptive statistics

Standard deviation0.1003417969
Coefficient of variation (CV)0.6728515625
Kurtosisnan
Mean0.1491699219
Median Absolute Deviation (MAD)0.06896972656
Skewnessnan
Sum22784
Variance0.01007080078
MonotocityNot monotonic
2021-06-15T19:42:53.652326image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%) 
0.13793945313553511.6%
 
0.06896972656241937.9%
 
0.1033935547204916.7%
 
0.2069091797197496.4%
 
0.03448486328161485.3%
 
0.172363281295663.1%
 
0.275878906280472.6%
 
0.241455078143181.4%
 
0.344726562521080.7%
 
0.310302734420860.7%
 
Other values (36)104363.4%
 
(Missing)15482250.3%
 
ValueCountFrequency (%) 
03290.1%
 
0.017196655277< 0.1%
 
0.03448486328161485.3%
 
0.051696777346110.2%
 
0.06896972656241937.9%
 
ValueCountFrequency (%) 
1153< 0.1%
 
0.965332031225< 0.1%
 
0.931152343821< 0.1%
 
0.89648437552< 0.1%
 
0.862304687514< 0.1%
 

floorsmax_medi
Real number (ℝ≥0)

MISSING

Distinct49
Distinct (%)< 0.1%
Missing153014
Missing (%)49.8%
Infinite0
Infinite (%)0.0%
Mean0.2259521484
Minimum0
Maximum1
Zeros2995
Zeros (%)1.0%
Memory size600.6 KiB
2021-06-15T19:42:54.222373image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.04168701172
Q10.1667480469
median0.1667480469
Q30.3332519531
95-th percentile0.4792480469
Maximum1
Range1
Interquartile range (IQR)0.1665039062

Descriptive statistics

Standard deviation0.1450195312
Coefficient of variation (CV)0.6416015625
Kurtosisnan
Mean0.2259521484
Median Absolute Deviation (MAD)0.08343505859
Skewnessnan
Sum34880
Variance0.02102661133
MonotocityNot monotonic
2021-06-15T19:42:54.890967image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%) 
0.16674804696360520.7%
 
0.33325195313327810.8%
 
0.04168701172148314.8%
 
0.37582072.7%
 
0.12570792.3%
 
0.0833129882866572.2%
 
0.458251953130881.0%
 
029951.0%
 
0.62520420.7%
 
0.541503906218590.6%
 
Other values (39)108443.5%
 
(Missing)15301449.8%
 
ValueCountFrequency (%) 
029951.0%
 
0.02079772949126< 0.1%
 
0.04168701172148314.8%
 
0.0625132< 0.1%
 
0.0833129882866572.2%
 
ValueCountFrequency (%) 
11700.1%
 
0.97900390621< 0.1%
 
0.958496093895< 0.1%
 
0.93754< 0.1%
 
0.916503906237< 0.1%
 

floorsmin_medi
Real number (ℝ≥0)

MISSING

Distinct47
Distinct (%)< 0.1%
Missing208633
Missing (%)67.8%
Infinite0
Infinite (%)0.0%
Mean0.2315673828
Minimum0
Maximum1
Zeros2351
Zeros (%)0.8%
Memory size600.6 KiB
2021-06-15T19:42:55.413552image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.04168701172
Q10.08331298828
median0.2082519531
Q30.375
95-th percentile0.5
Maximum1
Range1
Interquartile range (IQR)0.2916870117

Descriptive statistics

Standard deviation0.1619873047
Coefficient of variation (CV)0.6997070312
Kurtosisnan
Mean0.2315673828
Median Absolute Deviation (MAD)0.1665039062
Skewnessnan
Sum22896
Variance0.02624511719
MonotocityNot monotonic
2021-06-15T19:42:55.854846image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%) 
0.20825195313373711.0%
 
0.375185386.0%
 
0.04168701172180885.9%
 
0.0833129882851311.7%
 
0.416748046940681.3%
 
0.166748046935701.2%
 
0.12533731.1%
 
023510.8%
 
0.518350.6%
 
0.666503906212610.4%
 
Other values (37)69142.2%
 
(Missing)20863367.8%
 
ValueCountFrequency (%) 
023510.8%
 
0.0207977294950< 0.1%
 
0.04168701172180885.9%
 
0.062551< 0.1%
 
0.0833129882851311.7%
 
ValueCountFrequency (%) 
1147< 0.1%
 
0.97900390625< 0.1%
 
0.958496093814< 0.1%
 
0.9165039062130< 0.1%
 
0.87516< 0.1%
 

landarea_medi
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3041
Distinct (%)2.4%
Missing182581
Missing (%)59.4%
Infinite0
Infinite (%)0.0%
Mean0.06713867188
Minimum0
Maximum1
Zeros15918
Zeros (%)5.2%
Memory size600.6 KiB
2021-06-15T19:42:56.450475image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01870727539
median0.04870605469
Q30.08679199219
95-th percentile0.1976318359
Maximum1
Range1
Interquartile range (IQR)0.0680847168

Descriptive statistics

Standard deviation0.08215332031
Coefficient of variation (CV)1.223632812
Kurtosisnan
Mean0.06713867188
Median Absolute Deviation (MAD)0.03271484375
Skewnessnan
Sum8384
Variance0.006744384766
MonotocityNot monotonic
2021-06-15T19:42:56.954693image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0159185.2%
 
0.019302368161970.1%
 
0.064208984381940.1%
 
0.048187255861860.1%
 
0.016098022461800.1%
 
0.014297485351800.1%
 
0.080322265621790.1%
 
0.024093627931770.1%
 
0.032104492191760.1%
 
0.017807006841750.1%
 
Other values (3031)10735634.9%
 
(Missing)18258159.4%
 
ValueCountFrequency (%) 
0159185.2%
 
0.000100016593914< 0.1%
 
0.000200033187913< 0.1%
 
0.00029993057257< 0.1%
 
0.000400066375711< 0.1%
 
ValueCountFrequency (%) 
1135< 0.1%
 
0.99462890623< 0.1%
 
0.98583984381< 0.1%
 
0.96630859381< 0.1%
 
0.96142578122< 0.1%
 

livingapartments_medi
Real number (ℝ≥0)

MISSING

Distinct1097
Distinct (%)1.1%
Missing210190
Missing (%)68.4%
Infinite0
Infinite (%)0.0%
Mean0.1019287109
Minimum0
Maximum1
Zeros433
Zeros (%)0.1%
Memory size600.6 KiB
2021-06-15T19:42:57.442235image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01029968262
Q10.05130004883
median0.07611083984
Q30.1231079102
95-th percentile0.2770996094
Maximum1
Range1
Interquartile range (IQR)0.07180786133

Descriptive statistics

Standard deviation0.09368896484
Coefficient of variation (CV)0.9189453125
Kurtosisnan
Mean0.1019287109
Median Absolute Deviation (MAD)0.03338623047
Skewnessnan
Sum9920
Variance0.008773803711
MonotocityNot monotonic
2021-06-15T19:42:58.283654image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.0513000488345001.5%
 
0.0684204101644971.5%
 
0.0770263671929261.0%
 
0.0599060058627080.9%
 
0.0855102539120140.7%
 
0.123107910219210.6%
 
0.00680160522517150.6%
 
0.0616149902316910.5%
 
0.102600097715170.5%
 
0.0137023925814870.5%
 
Other values (1087)7233323.5%
 
(Missing)21019068.4%
 
ValueCountFrequency (%) 
04330.1%
 
0.0008997917175117< 0.1%
 
0.0012998580931< 0.1%
 
0.0017004013062540.1%
 
0.0020999908452< 0.1%
 
ValueCountFrequency (%) 
191< 0.1%
 
0.98095703122< 0.1%
 
0.96533203124< 0.1%
 
0.95068359385< 0.1%
 
0.93115234385< 0.1%
 

livingarea_medi
Real number (ℝ≥0)

MISSING

Distinct3741
Distinct (%)2.4%
Missing154344
Missing (%)50.2%
Infinite0
Infinite (%)0.0%
Mean0.108581543
Minimum0
Maximum1
Zeros299
Zeros (%)0.1%
Memory size600.6 KiB
2021-06-15T19:42:58.829849image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.00830078125
Q10.04568481445
median0.07489013672
Q30.1302490234
95-th percentile0.3254394531
Maximum1
Range1
Interquartile range (IQR)0.08456420898

Descriptive statistics

Standard deviation0.1123046875
Coefficient of variation (CV)1.034179688
Kurtosisnan
Mean0.108581543
Median Absolute Deviation (MAD)0.03939819336
Skewnessnan
Sum16640
Variance0.01261138916
MonotocityNot monotonic
2021-06-15T19:42:59.340534image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02990.1%
 
0.054809570312390.1%
 
0.051788330082340.1%
 
0.052001953122330.1%
 
0.052093505862320.1%
 
0.052185058592250.1%
 
0.051300048832170.1%
 
0.051910400392170.1%
 
0.088806152342120.1%
 
0.071716308592120.1%
 
Other values (3731)15083549.1%
 
(Missing)15434450.2%
 
ValueCountFrequency (%) 
02990.1%
 
0.00010001659394< 0.1%
 
0.00020003318798< 0.1%
 
0.000299930572510< 0.1%
 
0.000400066375714< 0.1%
 
ValueCountFrequency (%) 
1149< 0.1%
 
0.99902343751< 0.1%
 
0.996093751< 0.1%
 
0.99316406258< 0.1%
 
0.99169921882< 0.1%
 

nonlivingapartments_medi
Real number (ℝ≥0)

MISSING
ZEROS

Distinct214
Distinct (%)0.2%
Missing213505
Missing (%)69.4%
Infinite0
Infinite (%)0.0%
Mean0.008651733398
Minimum0
Maximum1
Zeros56095
Zeros (%)18.2%
Memory size600.6 KiB
2021-06-15T19:42:59.975017image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.003900527954
95-th percentile0.03109741211
Maximum1
Range1
Interquartile range (IQR)0.003900527954

Descriptive statistics

Standard deviation0.04742431641
Coefficient of variation (CV)5.48046875
Kurtosisnan
Mean0.008651733398
Median Absolute Deviation (MAD)0
Skewnessnan
Sum813.5
Variance0.002248764038
MonotocityNot monotonic
2021-06-15T19:43:00.655068image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
05609518.2%
 
0.003900527954141254.6%
 
0.00780105590864932.1%
 
0.0115966796937881.2%
 
0.0155029296925570.8%
 
0.019393920916960.6%
 
0.00189971923812860.4%
 
0.023300170912020.4%
 
0.02720642098640.3%
 
0.031097412117310.2%
 
Other values (204)51571.7%
 
(Missing)21350569.4%
 
ValueCountFrequency (%) 
05609518.2%
 
0.00189971923812860.4%
 
0.003900527954141254.6%
 
0.0057983398445150.2%
 
0.00780105590864932.1%
 
ValueCountFrequency (%) 
197< 0.1%
 
0.99755859384< 0.1%
 
0.99365234381< 0.1%
 
0.97802734383< 0.1%
 
0.9628906252< 0.1%
 

nonlivingarea_medi
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2923
Distinct (%)2.1%
Missing169676
Missing (%)55.2%
Infinite0
Infinite (%)0.0%
Mean0.02822875977
Minimum0
Maximum1
Zeros60952
Zeros (%)19.8%
Memory size600.6 KiB
2021-06-15T19:43:01.111710image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.003099441528
Q30.02659606934
95-th percentile0.1295166016
Maximum1
Range1
Interquartile range (IQR)0.02659606934

Descriptive statistics

Standard deviation0.07019042969
Coefficient of variation (CV)2.486328125
Kurtosisnan
Mean0.02822875977
Median Absolute Deviation (MAD)0.003099441528
Skewnessnan
Sum3890
Variance0.00492477417
MonotocityNot monotonic
2021-06-15T19:43:01.563323image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
06095219.8%
 
0.001199722295390.2%
 
0.0021991729744780.2%
 
0.0037002563484560.1%
 
0.0043983459474310.1%
 
0.0010995864874210.1%
 
0.0042991638184150.1%
 
0.0030994415284070.1%
 
0.0010004043584010.1%
 
0.0028991699223870.1%
 
Other values (2913)7293623.7%
 
(Missing)16967655.2%
 
ValueCountFrequency (%) 
06095219.8%
 
0.00010001659391540.1%
 
0.000200033187981< 0.1%
 
0.000299930572586< 0.1%
 
0.0004000663757147< 0.1%
 
ValueCountFrequency (%) 
1134< 0.1%
 
0.99707031251< 0.1%
 
0.97900390623< 0.1%
 
0.97607421885< 0.1%
 
0.97558593753< 0.1%
 

fondkapremont_mode
Categorical

MISSING

Distinct4
Distinct (%)< 0.1%
Missing210286
Missing (%)68.4%
Memory size2.3 MiB
reg oper account
73829 
reg oper spec account
12079 
not specified
 
5686
org spec account
 
5619
ValueCountFrequency (%) 
reg oper account7382924.0%
 
reg oper spec account120793.9%
 
not specified56861.8%
 
org spec account56191.8%
 
(Missing)21028668.4%
 
2021-06-15T19:43:02.045868image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

housetype_mode
Categorical

MISSING

Distinct3
Distinct (%)< 0.1%
Missing154291
Missing (%)50.2%
Memory size2.3 MiB
block of flats
150497 
specific housing
 
1499
terraced house
 
1212
ValueCountFrequency (%) 
block of flats15049748.9%
 
specific housing14990.5%
 
terraced house12120.4%
 
(Missing)15429150.2%
 
2021-06-15T19:43:02.522480image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

totalarea_mode
Real number (ℝ≥0)

MISSING

Distinct3660
Distinct (%)2.3%
Missing148425
Missing (%)48.3%
Infinite0
Infinite (%)0.0%
Mean0.1025390625
Minimum0
Maximum1
Zeros582
Zeros (%)0.2%
Memory size600.6 KiB
2021-06-15T19:43:03.290512image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.006698608398
Q10.04119873047
median0.06878662109
Q30.1275634766
95-th percentile0.3090820312
Maximum1
Range1
Interquartile range (IQR)0.08636474609

Descriptive statistics

Standard deviation0.107421875
Coefficient of variation (CV)1.047851562
Kurtosisnan
Mean0.1025390625
Median Absolute Deviation (MAD)0.03747558594
Skewnessnan
Sum16312
Variance0.01154327393
MonotocityNot monotonic
2021-06-15T19:43:03.869879image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
05820.2%
 
0.057006835942470.1%
 
0.05468752300.1%
 
0.054809570312270.1%
 
0.054992675782270.1%
 
0.055511474612270.1%
 
0.055114746092250.1%
 
0.057312011722200.1%
 
0.05538940432200.1%
 
0.056610107422190.1%
 
Other values (3650)15645050.9%
 
(Missing)14842548.3%
 
ValueCountFrequency (%) 
05820.2%
 
0.000100016593910< 0.1%
 
0.00020003318794< 0.1%
 
0.000299930572524< 0.1%
 
0.000400066375718< 0.1%
 
ValueCountFrequency (%) 
11550.1%
 
0.99707031251< 0.1%
 
0.99316406251< 0.1%
 
0.99218751< 0.1%
 
0.97900390622< 0.1%
 

wallsmaterial_mode
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing156335
Missing (%)50.8%
Memory size2.3 MiB
Panel
66038 
Stone, brick
64811 
Block
9253 
Wooden
 
5362
Mixed
 
2296
Other values (2)
 
3404
ValueCountFrequency (%) 
Panel6603821.5%
 
Stone, brick6481121.1%
 
Block92533.0%
 
Wooden53621.7%
 
Mixed22960.7%
 
Monolithic17790.6%
 
Others16250.5%
 
(Missing)15633550.8%
 
2021-06-15T19:43:04.487449image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

emergencystate_mode
Boolean

MISSING

Distinct2
Distinct (%)< 0.1%
Missing145749
Missing (%)47.4%
Memory size2.3 MiB
No
159422 
Yes
 
2328
(Missing)
145749 
ValueCountFrequency (%) 
No15942251.8%
 
Yes23280.8%
 
(Missing)14574947.4%
 

obs_30_cnt_social_circle
Real number (ℝ≥0)

ZEROS

Distinct33
Distinct (%)< 0.1%
Missing1021
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean1.421875
Minimum0
Maximum348
Zeros163901
Zeros (%)53.3%
Memory size600.6 KiB
2021-06-15T19:43:05.133929image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6
Maximum348
Range348
Interquartile range (IQR)2

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean1.421875
Median Absolute Deviation (MAD)0
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:43:05.574576image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%) 
016390153.3%
 
14878015.9%
 
2298089.7%
 
3203226.6%
 
4141434.6%
 
595533.1%
 
664532.1%
 
743901.4%
 
829671.0%
 
920030.7%
 
Other values (23)41581.4%
 
ValueCountFrequency (%) 
016390153.3%
 
14878015.9%
 
2298089.7%
 
3203226.6%
 
4141434.6%
 
ValueCountFrequency (%) 
3481< 0.1%
 
471< 0.1%
 
302< 0.1%
 
291< 0.1%
 
281< 0.1%
 

def_30_cnt_social_circle
Real number (ℝ≥0)

ZEROS

Distinct10
Distinct (%)< 0.1%
Missing1021
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean0.1434326172
Minimum0
Maximum34
Zeros271312
Zeros (%)88.2%
Memory size600.6 KiB
2021-06-15T19:43:05.939152image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum34
Range34
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4467773438
Coefficient of variation (CV)3.115234375
Kurtosisnan
Mean0.1434326172
Median Absolute Deviation (MAD)0
Skewnessnan
Sum44000
Variance0.1995849609
MonotocityNot monotonic
2021-06-15T19:43:06.236871image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
027131288.2%
 
1283289.2%
 
253231.7%
 
311920.4%
 
42530.1%
 
556< 0.1%
 
611< 0.1%
 
81< 0.1%
 
71< 0.1%
 
341< 0.1%
 
(Missing)10210.3%
 
ValueCountFrequency (%) 
027131288.2%
 
1283289.2%
 
253231.7%
 
311920.4%
 
42530.1%
 
ValueCountFrequency (%) 
341< 0.1%
 
81< 0.1%
 
71< 0.1%
 
611< 0.1%
 
556< 0.1%
 

obs_60_cnt_social_circle
Real number (ℝ≥0)

ZEROS

Distinct33
Distinct (%)< 0.1%
Missing1021
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean1.405273438
Minimum0
Maximum344
Zeros164657
Zeros (%)53.5%
Memory size600.6 KiB
2021-06-15T19:43:06.728387image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6
Maximum344
Range344
Interquartile range (IQR)2

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean1.405273438
Median Absolute Deviation (MAD)0
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:43:08.318869image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%) 
016465753.5%
 
14886715.9%
 
2297669.7%
 
3202156.6%
 
4139464.5%
 
594633.1%
 
663492.1%
 
743441.4%
 
828860.9%
 
919590.6%
 
Other values (23)40261.3%
 
ValueCountFrequency (%) 
016465753.5%
 
14886715.9%
 
2297669.7%
 
3202156.6%
 
4139464.5%
 
ValueCountFrequency (%) 
3441< 0.1%
 
471< 0.1%
 
301< 0.1%
 
292< 0.1%
 
281< 0.1%
 

def_60_cnt_social_circle
Real number (ℝ≥0)

ZEROS

Distinct9
Distinct (%)< 0.1%
Missing1021
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean0.1000366211
Minimum0
Maximum24
Zeros280709
Zeros (%)91.3%
Memory size600.6 KiB
2021-06-15T19:43:08.681208image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum24
Range24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3623046875
Coefficient of variation (CV)3.62109375
Kurtosisnan
Mean0.1000366211
Median Absolute Deviation (MAD)0
Skewnessnan
Sum30656
Variance0.1313476562
MonotocityNot monotonic
2021-06-15T19:43:09.136558image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
028070991.3%
 
1218417.1%
 
231701.0%
 
35980.2%
 
4135< 0.1%
 
520< 0.1%
 
63< 0.1%
 
71< 0.1%
 
241< 0.1%
 
(Missing)10210.3%
 
ValueCountFrequency (%) 
028070991.3%
 
1218417.1%
 
231701.0%
 
35980.2%
 
4135< 0.1%
 
ValueCountFrequency (%) 
241< 0.1%
 
71< 0.1%
 
63< 0.1%
 
520< 0.1%
 
4135< 0.1%
 

days_last_phone_change
Real number (ℝ)

ZEROS

Distinct2957
Distinct (%)1.0%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-963
Minimum-4292
Maximum0
Zeros37672
Zeros (%)12.3%
Memory size600.6 KiB
2021-06-15T19:43:09.663038image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-4292
5-th percentile-2522
Q1-1570
median-757
Q3-274
95-th percentile0
Maximum0
Range4292
Interquartile range (IQR)1296

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)-inf
Kurtosisnan
Mean-963
Median Absolute Deviation (MAD)627
Skewnessnan
Sum-inf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:43:10.136513image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
03767212.3%
 
-128120.9%
 
-223170.8%
 
-317630.6%
 
-412850.4%
 
-58240.3%
 
-65370.2%
 
-74420.1%
 
-82780.1%
 
-4762220.1%
 
Other values (2947)25934684.3%
 
ValueCountFrequency (%) 
-42921< 0.1%
 
-41841< 0.1%
 
-41721< 0.1%
 
-41521< 0.1%
 
-41321< 0.1%
 
ValueCountFrequency (%) 
03767212.3%
 
-128120.9%
 
-223170.8%
 
-317630.6%
 
-412850.4%
 

flag_document_2
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.3 KiB
0
307486 
1
 
13
ValueCountFrequency (%) 
0307486> 99.9%
 
113< 0.1%
 

flag_document_3
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.3 KiB
1
218332 
0
89167 
ValueCountFrequency (%) 
121833271.0%
 
08916729.0%
 

flag_document_4
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.3 KiB
0
307474 
1
 
25
ValueCountFrequency (%) 
0307474> 99.9%
 
125< 0.1%
 

flag_document_5
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.3 KiB
0
302853 
1
 
4646
ValueCountFrequency (%) 
030285398.5%
 
146461.5%
 

flag_document_6
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.3 KiB
0
280421 
1
 
27078
ValueCountFrequency (%) 
028042191.2%
 
1270788.8%
 

flag_document_7
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.3 KiB
0
307440 
1
 
59
ValueCountFrequency (%) 
0307440> 99.9%
 
159< 0.1%
 

flag_document_8
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.3 KiB
0
282477 
1
 
25022
ValueCountFrequency (%) 
028247791.9%
 
1250228.1%
 

flag_document_9
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.3 KiB
0
306301 
1
 
1198
ValueCountFrequency (%) 
030630199.6%
 
111980.4%
 

flag_document_10
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.3 KiB
0
307492 
1
 
7
ValueCountFrequency (%) 
0307492> 99.9%
 
17< 0.1%
 

flag_document_11
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.3 KiB
0
306296 
1
 
1203
ValueCountFrequency (%) 
030629699.6%
 
112030.4%
 

flag_document_12
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.3 KiB
0
307497 
1
 
2
ValueCountFrequency (%) 
0307497> 99.9%
 
12< 0.1%
 

flag_document_13
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.3 KiB
0
306415 
1
 
1084
ValueCountFrequency (%) 
030641599.6%
 
110840.4%
 

flag_document_14
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.3 KiB
0
306596 
1
 
903
ValueCountFrequency (%) 
030659699.7%
 
19030.3%
 

flag_document_15
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.3 KiB
0
307127 
1
 
372
ValueCountFrequency (%) 
030712799.9%
 
13720.1%
 

flag_document_16
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.3 KiB
0
304446 
1
 
3053
ValueCountFrequency (%) 
030444699.0%
 
130531.0%
 

flag_document_17
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.3 KiB
0
307417 
1
 
82
ValueCountFrequency (%) 
0307417> 99.9%
 
182< 0.1%
 

flag_document_18
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.3 KiB
0
304999 
1
 
2500
ValueCountFrequency (%) 
030499999.2%
 
125000.8%
 

flag_document_19
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.3 KiB
0
307316 
1
 
183
ValueCountFrequency (%) 
030731699.9%
 
11830.1%
 

flag_document_20
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.3 KiB
0
307343 
1
 
156
ValueCountFrequency (%) 
030734399.9%
 
11560.1%
 

flag_document_21
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.3 KiB
0
307396 
1
 
103
ValueCountFrequency (%) 
0307396> 99.9%
 
1103< 0.1%
 

amt_req_credit_bureau_hour
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5
Distinct (%)< 0.1%
Missing41518
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean0.006401062012
Minimum0
Maximum4
Zeros264355
Zeros (%)86.0%
Memory size600.6 KiB
2021-06-15T19:43:10.552079image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.083984375
Coefficient of variation (CV)13.1171875
Kurtosisnan
Mean0.006401062012
Median Absolute Deviation (MAD)0
Skewnessnan
Sum1703
Variance0.007049560547
MonotocityNot monotonic
2021-06-15T19:43:10.844805image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
026435586.0%
 
115600.5%
 
256< 0.1%
 
39< 0.1%
 
41< 0.1%
 
(Missing)4151813.5%
 
ValueCountFrequency (%) 
026435586.0%
 
115600.5%
 
256< 0.1%
 
39< 0.1%
 
41< 0.1%
 
ValueCountFrequency (%) 
41< 0.1%
 
39< 0.1%
 
256< 0.1%
 
115600.5%
 
026435586.0%
 

amt_req_credit_bureau_day
Real number (ℝ≥0)

MISSING
ZEROS

Distinct9
Distinct (%)< 0.1%
Missing41518
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean0.006999969482
Minimum0
Maximum9
Zeros264492
Zeros (%)86.0%
Memory size600.6 KiB
2021-06-15T19:43:11.193070image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1107177734
Coefficient of variation (CV)15.8203125
Kurtosisnan
Mean0.006999969482
Median Absolute Deviation (MAD)0
Skewnessnan
Sum1862
Variance0.01226043701
MonotocityNot monotonic
2021-06-15T19:43:11.513163image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
026449286.0%
 
112920.4%
 
2106< 0.1%
 
345< 0.1%
 
426< 0.1%
 
59< 0.1%
 
68< 0.1%
 
92< 0.1%
 
81< 0.1%
 
(Missing)4151813.5%
 
ValueCountFrequency (%) 
026449286.0%
 
112920.4%
 
2106< 0.1%
 
345< 0.1%
 
426< 0.1%
 
ValueCountFrequency (%) 
92< 0.1%
 
81< 0.1%
 
68< 0.1%
 
59< 0.1%
 
426< 0.1%
 

amt_req_credit_bureau_week
Real number (ℝ≥0)

MISSING
ZEROS

Distinct9
Distinct (%)< 0.1%
Missing41518
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean0.03436279297
Minimum0
Maximum8
Zeros257448
Zeros (%)83.7%
Memory size600.6 KiB
2021-06-15T19:43:11.805838image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2047119141
Coefficient of variation (CV)5.95703125
Kurtosisnan
Mean0.03436279297
Median Absolute Deviation (MAD)0
Skewnessnan
Sum9128
Variance0.04193115234
MonotocityNot monotonic
2021-06-15T19:43:12.113624image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%) 
025744883.7%
 
182052.7%
 
21990.1%
 
358< 0.1%
 
434< 0.1%
 
620< 0.1%
 
510< 0.1%
 
85< 0.1%
 
72< 0.1%
 
(Missing)4151813.5%
 
ValueCountFrequency (%) 
025744883.7%
 
182052.7%
 
21990.1%
 
358< 0.1%
 
434< 0.1%
 
ValueCountFrequency (%) 
85< 0.1%
 
72< 0.1%
 
620< 0.1%
 
510< 0.1%
 
434< 0.1%
 

amt_req_credit_bureau_mon
Real number (ℝ≥0)

MISSING
ZEROS

Distinct24
Distinct (%)< 0.1%
Missing41518
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean0.2673339844
Minimum0
Maximum27
Zeros222227
Zeros (%)72.3%
Memory size600.6 KiB
2021-06-15T19:43:12.455315image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum27
Range27
Interquartile range (IQR)0

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean0.2673339844
Median Absolute Deviation (MAD)0
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:43:12.812880image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%) 
022222772.3%
 
13314310.8%
 
253851.8%
 
319910.6%
 
410760.3%
 
56020.2%
 
63430.1%
 
72980.1%
 
92060.1%
 
81850.1%
 
Other values (14)5250.2%
 
(Missing)4151813.5%
 
ValueCountFrequency (%) 
022222772.3%
 
13314310.8%
 
253851.8%
 
319910.6%
 
410760.3%
 
ValueCountFrequency (%) 
271< 0.1%
 
241< 0.1%
 
231< 0.1%
 
221< 0.1%
 
193< 0.1%
 

amt_req_credit_bureau_qrt
Real number (ℝ≥0)

MISSING
ZEROS

Distinct11
Distinct (%)< 0.1%
Missing41518
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean0.2653808594
Minimum0
Maximum261
Zeros215409
Zeros (%)70.1%
Memory size600.6 KiB
2021-06-15T19:43:13.224093image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum261
Range261
Interquartile range (IQR)0

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean0.2653808594
Median Absolute Deviation (MAD)0
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:43:13.617612image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
021540970.1%
 
13385911.0%
 
2144124.7%
 
317170.6%
 
44760.2%
 
564< 0.1%
 
628< 0.1%
 
87< 0.1%
 
77< 0.1%
 
191< 0.1%
 
(Missing)4151813.5%
 
ValueCountFrequency (%) 
021540970.1%
 
13385911.0%
 
2144124.7%
 
317170.6%
 
44760.2%
 
ValueCountFrequency (%) 
2611< 0.1%
 
191< 0.1%
 
87< 0.1%
 
77< 0.1%
 
628< 0.1%
 

amt_req_credit_bureau_year
Real number (ℝ≥0)

MISSING
ZEROS

Distinct25
Distinct (%)< 0.1%
Missing41518
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean1.900390625
Minimum0
Maximum25
Zeros71800
Zeros (%)23.3%
Memory size600.6 KiB
2021-06-15T19:43:14.034435image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile6
Maximum25
Range25
Interquartile range (IQR)3

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean1.900390625
Median Absolute Deviation (MAD)1
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:43:14.492219image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%) 
07180023.3%
 
16340120.6%
 
25019016.3%
 
33362810.9%
 
4207136.7%
 
5120513.9%
 
669662.3%
 
738691.3%
 
821270.7%
 
910960.4%
 
Other values (15)140< 0.1%
 
(Missing)4151813.5%
 
ValueCountFrequency (%) 
07180023.3%
 
16340120.6%
 
25019016.3%
 
33362810.9%
 
4207136.7%
 
ValueCountFrequency (%) 
251< 0.1%
 
231< 0.1%
 
221< 0.1%
 
211< 0.1%
 
201< 0.1%
 

amt_annuity_mean
Real number (ℝ≥0)

MISSING

Distinct267916
Distinct (%)92.2%
Missing16871
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean14532.09878
Minimum0
Maximum300425.445
Zeros1
Zeros (%)< 0.1%
Memory size2.3 MiB
2021-06-15T19:43:15.458004image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4253.946375
Q17835.796563
median11984.41687
Q318330.44175
95-th percentile33069.063
Maximum300425.445
Range300425.445
Interquartile range (IQR)10494.64519

Descriptive statistics

Standard deviation10007.59302
Coefficient of variation (CV)0.6886543488
Kurtosis15.98038034
Mean14532.09878
Median Absolute Deviation (MAD)4862.728125
Skewness2.531856099
Sum4223434805
Variance100151918.1
MonotocityNot monotonic
2021-06-15T19:43:16.246879image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
22505450.2%
 
67502650.1%
 
45002380.1%
 
112502210.1%
 
90001940.1%
 
33751570.1%
 
7875107< 0.1%
 
562593< 0.1%
 
17079.25546< 0.1%
 
22680.04538< 0.1%
 
Other values (267906)28872493.9%
 
(Missing)168715.5%
 
ValueCountFrequency (%) 
01< 0.1%
 
585.8551< 0.1%
 
635.041< 0.1%
 
643.591< 0.1%
 
675.631< 0.1%
 
ValueCountFrequency (%) 
300425.4451< 0.1%
 
2903581< 0.1%
 
193199.581< 0.1%
 
173313.8551< 0.1%
 
172717.3351< 0.1%
 

amt_annuity_max
Real number (ℝ≥0)

MISSING

Distinct145947
Distinct (%)50.2%
Missing16871
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean23722.68103
Minimum0
Maximum418058.145
Zeros1
Zeros (%)< 0.1%
Memory size2.3 MiB
2021-06-15T19:43:17.186812image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4770.06075
Q110389.78
median17907.75
Q331505.65875
95-th percentile59416.812
Maximum418058.145
Range418058.145
Interquartile range (IQR)21115.87875

Descriptive statistics

Standard deviation19169.64455
Coefficient of variation (CV)0.8080724315
Kurtosis11.51948045
Mean23722.68103
Median Absolute Deviation (MAD)9096.4125
Skewness2.274198749
Sum6894475343
Variance367475272
MonotocityNot monotonic
2021-06-15T19:43:17.920040image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2250033341.1%
 
3825021590.7%
 
4500019320.6%
 
1125014520.5%
 
900013600.4%
 
1350011850.4%
 
67508160.3%
 
292508090.3%
 
22506020.2%
 
180005850.2%
 
Other values (145937)27639489.9%
 
(Missing)168715.5%
 
ValueCountFrequency (%) 
01< 0.1%
 
585.8551< 0.1%
 
635.041< 0.1%
 
643.591< 0.1%
 
675.631< 0.1%
 
ValueCountFrequency (%) 
418058.1452< 0.1%
 
417927.6451< 0.1%
 
393868.6651< 0.1%
 
3099421< 0.1%
 
300425.4451< 0.1%
 

amt_annuity_last
Real number (ℝ≥0)

MISSING

Distinct144210
Distinct (%)49.6%
Missing16871
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean17424.46708
Minimum0
Maximum300425.445
Zeros377
Zeros (%)0.1%
Memory size2.3 MiB
2021-06-15T19:43:18.520363image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2648.22075
Q17027.95375
median12521.16
Q322680.045
95-th percentile47562.83775
Maximum300425.445
Range300425.445
Interquartile range (IQR)15652.09125

Descriptive statistics

Standard deviation15396.14084
Coefficient of variation (CV)0.8835932123
Kurtosis10.60958574
Mean17424.46708
Median Absolute Deviation (MAD)6720.0525
Skewness2.360907941
Sum5064038020
Variance237041152.9
MonotocityNot monotonic
2021-06-15T19:43:19.247408image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
225097283.2%
 
900029050.9%
 
2250026060.8%
 
675025730.8%
 
1125024390.8%
 
1350023950.8%
 
450022430.7%
 
3825014220.5%
 
4500012110.4%
 
101258190.3%
 
Other values (144200)26228785.3%
 
(Missing)168715.5%
 
ValueCountFrequency (%) 
03770.1%
 
585.8551< 0.1%
 
635.041< 0.1%
 
643.591< 0.1%
 
675.631< 0.1%
 
ValueCountFrequency (%) 
300425.4451< 0.1%
 
2903581< 0.1%
 
273770.1451< 0.1%
 
239108.2651< 0.1%
 
234478.3951< 0.1%
 

amt_credit_mean
Real number (ℝ≥0)

MISSING

Distinct210619
Distinct (%)72.4%
Missing16454
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean170071.4776
Minimum0
Maximum4050000
Zeros227
Zeros (%)0.1%
Memory size2.3 MiB
2021-06-15T19:43:20.243336image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29322
Q166849
median117450
Q3216073.5
95-th percentile480403.2
Maximum4050000
Range4050000
Interquartile range (IQR)149224.5

Descriptive statistics

Standard deviation165739.5263
Coefficient of variation (CV)0.9745286429
Kurtosis23.11920511
Mean170071.4776
Median Absolute Deviation (MAD)62325
Skewness3.29388169
Sum4.94984532e+10
Variance2.746959057e+10
MonotocityNot monotonic
2021-06-15T19:43:21.050524image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
450004270.1%
 
1350003520.1%
 
900003010.1%
 
2250002830.1%
 
675002680.1%
 
1800002330.1%
 
02270.1%
 
1125002220.1%
 
225001920.1%
 
157500152< 0.1%
 
Other values (210609)28838893.8%
 
(Missing)164545.4%
 
ValueCountFrequency (%) 
02270.1%
 
908.11< 0.1%
 
18001< 0.1%
 
1918.6363641< 0.1%
 
2602.51< 0.1%
 
ValueCountFrequency (%) 
40500001< 0.1%
 
35242203< 0.1%
 
33745322< 0.1%
 
32622661< 0.1%
 
31500002< 0.1%
 

amt_credit_max
Real number (ℝ≥0)

MISSING

Distinct58510
Distinct (%)20.1%
Missing16454
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean413863.6775
Minimum0
Maximum4509688.5
Zeros227
Zeros (%)0.1%
Memory size2.3 MiB
2021-06-15T19:43:22.091686image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile38331
Q1104431.5
median225000
Q3547344
95-th percentile1350000
Maximum4509688.5
Range4509688.5
Interquartile range (IQR)442912.5

Descriptive statistics

Standard deviation457540.3077
Coefficient of variation (CV)1.105533857
Kurtosis5.027486241
Mean413863.6775
Median Absolute Deviation (MAD)156307.5
Skewness2.000570845
Sum1.20452954e+11
Variance2.093431332e+11
MonotocityNot monotonic
2021-06-15T19:43:22.692852image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
45000067752.2%
 
22500045161.5%
 
18000038851.3%
 
90000034851.1%
 
27000027130.9%
 
13500027120.9%
 
76500024950.8%
 
67500020390.7%
 
135000020090.7%
 
4500017490.6%
 
Other values (58500)25866784.1%
 
(Missing)164545.4%
 
ValueCountFrequency (%) 
02270.1%
 
61831< 0.1%
 
68761< 0.1%
 
7105.51< 0.1%
 
7222.51< 0.1%
 
ValueCountFrequency (%) 
4509688.51< 0.1%
 
41043513< 0.1%
 
40855501< 0.1%
 
40500005< 0.1%
 
4045711.51< 0.1%
 

amt_credit_last
Real number (ℝ≥0)

MISSING
ZEROS

Distinct49899
Distinct (%)17.1%
Missing16454
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean184146.8736
Minimum0
Maximum4085550
Zeros77033
Zeros (%)25.1%
Memory size2.3 MiB
2021-06-15T19:43:23.209398image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median72004.5
Q3189166.5
95-th percentile849546
Maximum4085550
Range4085550
Interquartile range (IQR)189166.5

Descriptive statistics

Standard deviation311127.3963
Coefficient of variation (CV)1.689561111
Kurtosis13.23877178
Mean184146.8736
Median Absolute Deviation (MAD)72004.5
Skewness3.206807221
Sum5.359502682e+10
Variance9.680025675e+10
MonotocityNot monotonic
2021-06-15T19:43:23.847432image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
07703325.1%
 
4500064822.1%
 
45000030511.0%
 
22500028470.9%
 
13500021810.7%
 
18000020500.7%
 
9000016350.5%
 
27000015400.5%
 
90000012730.4%
 
6750009930.3%
 
Other values (49889)19196062.4%
 
(Missing)164545.4%
 
ValueCountFrequency (%) 
07703325.1%
 
61831< 0.1%
 
67501< 0.1%
 
68761< 0.1%
 
69841< 0.1%
 
ValueCountFrequency (%) 
40855501< 0.1%
 
40500001< 0.1%
 
352422015< 0.1%
 
34867981< 0.1%
 
34425001< 0.1%
 

amt_down_payment_mean
Real number (ℝ)

MISSING
SKEWED
ZEROS

Distinct54048
Distinct (%)19.8%
Missing33906
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean7080.639525
Minimum-0.225
Maximum2025000
Zeros76950
Zeros (%)25.0%
Memory size2.3 MiB
2021-06-15T19:43:24.948120image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-0.225
5-th percentile0
Q10
median3375
Q38282.73375
95-th percentile24381
Maximum2025000
Range2025000.225
Interquartile range (IQR)8282.73375

Descriptive statistics

Standard deviation18422.17229
Coefficient of variation (CV)2.601766723
Kurtosis2190.356381
Mean7080.639525
Median Absolute Deviation (MAD)3375
Skewness31.42994001
Sum1937213410
Variance339376431.9
MonotocityNot monotonic
2021-06-15T19:43:25.731067image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
07695025.0%
 
450045761.5%
 
225031231.0%
 
900026330.9%
 
675020700.7%
 
2250017320.6%
 
1350016870.5%
 
1125012000.4%
 
33759490.3%
 
11258600.3%
 
Other values (54038)17781357.8%
 
(Missing)3390611.0%
 
ValueCountFrequency (%) 
-0.2251< 0.1%
 
07695025.0%
 
0.032< 0.1%
 
0.033751< 0.1%
 
0.04511< 0.1%
 
ValueCountFrequency (%) 
20250001< 0.1%
 
19800001< 0.1%
 
17550001< 0.1%
 
15750001< 0.1%
 
1535636.251< 0.1%
 

amt_down_payment_max
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct21520
Distinct (%)7.9%
Missing33906
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean11681.32329
Minimum0
Maximum3060045
Zeros76951
Zeros (%)25.0%
Memory size2.3 MiB
2021-06-15T19:43:26.577258image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5850
Q313500
95-th percentile43735.5
Maximum3060045
Range3060045
Interquartile range (IQR)13500

Descriptive statistics

Standard deviation28603.74665
Coefficient of variation (CV)2.448673488
Kurtosis1628.511382
Mean11681.32329
Median Absolute Deviation (MAD)5850
Skewness27.52791917
Sum3195928284
Variance818174322.2
MonotocityNot monotonic
2021-06-15T19:43:27.398456image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
07695125.0%
 
450083052.7%
 
900073682.4%
 
1350056411.8%
 
2250053651.7%
 
675035511.2%
 
4500029651.0%
 
1800028030.9%
 
225020650.7%
 
1125016560.5%
 
Other values (21510)15692351.0%
 
(Missing)3390611.0%
 
ValueCountFrequency (%) 
07695125.0%
 
0.0455< 0.1%
 
0.0912< 0.1%
 
0.13512< 0.1%
 
0.1816< 0.1%
 
ValueCountFrequency (%) 
30600451< 0.1%
 
24750001< 0.1%
 
21501001< 0.1%
 
21357001< 0.1%
 
20250001< 0.1%
 

amt_down_payment_last
Real number (ℝ)

MISSING
SKEWED
ZEROS

Distinct15977
Distinct (%)5.8%
Missing33906
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean6655.500162
Minimum-0.45
Maximum3060045
Zeros151120
Zeros (%)49.1%
Memory size2.3 MiB
2021-06-15T19:43:27.863966image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-0.45
5-th percentile0
Q10
median0
Q37452
95-th percentile27161.784
Maximum3060045
Range3060045.45
Interquartile range (IQR)7452

Descriptive statistics

Standard deviation22215.31598
Coefficient of variation (CV)3.337888279
Kurtosis3257.287447
Mean6655.500162
Median Absolute Deviation (MAD)0
Skewness37.86212625
Sum1820898256
Variance493520264.1
MonotocityNot monotonic
2021-06-15T19:43:28.488494image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
015112049.1%
 
450054881.8%
 
900040971.3%
 
2250029040.9%
 
1350028830.9%
 
675019690.6%
 
225016250.5%
 
4500015230.5%
 
1800012930.4%
 
112508270.3%
 
Other values (15967)9986432.5%
 
(Missing)3390611.0%
 
ValueCountFrequency (%) 
-0.451< 0.1%
 
015112049.1%
 
0.0459< 0.1%
 
0.0915< 0.1%
 
0.13516< 0.1%
 
ValueCountFrequency (%) 
30600451< 0.1%
 
24750001< 0.1%
 
21501001< 0.1%
 
20250001< 0.1%
 
19800001< 0.1%
 

amt_goods_price_mean
Real number (ℝ≥0)

MISSING

Distinct185821
Distinct (%)64.1%
Missing17429
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean193896.714
Minimum0
Maximum4050000
Zeros40
Zeros (%)< 0.1%
Memory size2.3 MiB
2021-06-15T19:43:29.249279image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile34155
Q173556.325
median128591.25
Q3244903.2206
95-th percentile571566.15
Maximum4050000
Range4050000
Interquartile range (IQR)171346.8956

Descriptive statistics

Standard deviation192578.0695
Coefficient of variation (CV)0.993199243
Kurtosis16.35155111
Mean193896.714
Median Absolute Deviation (MAD)68547.75
Skewness2.958847636
Sum5.624361982e+10
Variance3.708631287e+10
MonotocityNot monotonic
2021-06-15T19:43:29.757217image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
13500011380.4%
 
22500011250.4%
 
450009970.3%
 
900008290.3%
 
4500007000.2%
 
1800005940.2%
 
1125004960.2%
 
3375004920.2%
 
675004820.2%
 
6750004700.2%
 
Other values (185811)28274792.0%
 
(Missing)174295.7%
 
ValueCountFrequency (%) 
040< 0.1%
 
5951.251< 0.1%
 
6250.51< 0.1%
 
68761< 0.1%
 
72991< 0.1%
 
ValueCountFrequency (%) 
40500001< 0.1%
 
33300001< 0.1%
 
31500009< 0.1%
 
31050002< 0.1%
 
30415501< 0.1%
 

amt_goods_price_max
Real number (ℝ≥0)

MISSING

Distinct48656
Distinct (%)16.8%
Missing17429
Missing (%)5.7%
Infinite0
Infinite (%)0.0%
Mean375878.5008
Minimum0
Maximum5850000
Zeros40
Zeros (%)< 0.1%
Memory size2.3 MiB
2021-06-15T19:43:30.378478image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile38695.5
Q198991
median202617.45
Q3454500
95-th percentile1287000
Maximum5850000
Range5850000
Interquartile range (IQR)355509

Descriptive statistics

Standard deviation422154.4393
Coefficient of variation (CV)1.123114087
Kurtosis5.675509373
Mean375878.5008
Median Absolute Deviation (MAD)134757.45
Skewness2.108553089
Sum1.090310767e+11
Variance1.782143706e+11
MonotocityNot monotonic
2021-06-15T19:43:30.830651image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
450000135824.4%
 
225000109093.5%
 
67500084362.7%
 
90000070722.3%
 
13500066132.2%
 
27000059101.9%
 
18000051191.7%
 
135000047241.5%
 
112950038861.3%
 
31500034481.1%
 
Other values (48646)22037171.7%
 
(Missing)174295.7%
 
ValueCountFrequency (%) 
040< 0.1%
 
6250.51< 0.1%
 
68761< 0.1%
 
72991< 0.1%
 
74161< 0.1%
 
ValueCountFrequency (%) 
58500001< 0.1%
 
44550001< 0.1%
 
41850001< 0.1%
 
41400001< 0.1%
 
40500005< 0.1%
 

cr_max_amt_cr_limit_max
Real number (ℝ≥0)

MISSING

Distinct54
Distinct (%)0.1%
Missing229573
Missing (%)74.7%
Infinite0
Infinite (%)0.0%
Mean263187.8064
Minimum0
Maximum1350000
Zeros873
Zeros (%)0.3%
Memory size2.3 MiB
2021-06-15T19:43:31.424680image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile45000
Q1135000
median180000
Q3360000
95-th percentile765000
Maximum1350000
Range1350000
Interquartile range (IQR)225000

Descriptive statistics

Standard deviation208006.4772
Coefficient of variation (CV)0.7903347807
Kurtosis1.634347536
Mean263187.8064
Median Absolute Deviation (MAD)90000
Skewness1.430276853
Sum2.0509173e+10
Variance4.326669458e+10
MonotocityNot monotonic
2021-06-15T19:43:32.038551image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
135000105663.4%
 
45000093113.0%
 
18000090622.9%
 
22500082002.7%
 
9000063062.1%
 
4500057561.9%
 
27000048731.6%
 
6750026640.9%
 
76500025230.8%
 
90000021440.7%
 
Other values (44)165215.4%
 
(Missing)22957374.7%
 
ValueCountFrequency (%) 
08730.3%
 
45003< 0.1%
 
90006< 0.1%
 
135009< 0.1%
 
180009< 0.1%
 
ValueCountFrequency (%) 
135000019< 0.1%
 
12375005< 0.1%
 
11250003< 0.1%
 
10125002< 0.1%
 
90000021440.7%
 

cr_max_amt_cr_limit_last
Real number (ℝ≥0)

MISSING

Distinct54
Distinct (%)0.1%
Missing229573
Missing (%)74.7%
Infinite0
Infinite (%)0.0%
Mean262725.8874
Minimum0
Maximum1350000
Zeros904
Zeros (%)0.3%
Memory size2.3 MiB
2021-06-15T19:43:32.820746image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile45000
Q1135000
median180000
Q3360000
95-th percentile765000
Maximum1350000
Range1350000
Interquartile range (IQR)225000

Descriptive statistics

Standard deviation207873.7077
Coefficient of variation (CV)0.7912189765
Kurtosis1.647966266
Mean262725.8874
Median Absolute Deviation (MAD)90000
Skewness1.433445932
Sum2.04731775e+10
Variance4.321147836e+10
MonotocityNot monotonic
2021-06-15T19:43:33.268445image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
135000105793.4%
 
45000092773.0%
 
18000090662.9%
 
22500082072.7%
 
9000063102.1%
 
4500057731.9%
 
27000048631.6%
 
6750026590.9%
 
76500025120.8%
 
11250021420.7%
 
Other values (44)165385.4%
 
(Missing)22957374.7%
 
ValueCountFrequency (%) 
09040.3%
 
45003< 0.1%
 
90007< 0.1%
 
1350011< 0.1%
 
1800011< 0.1%
 
ValueCountFrequency (%) 
135000019< 0.1%
 
12375005< 0.1%
 
11250003< 0.1%
 
10125002< 0.1%
 
90000021390.7%
 

cr_max_amt_balance_max
Real number (ℝ≥0)

MISSING
ZEROS

Distinct49121
Distinct (%)63.0%
Missing229573
Missing (%)74.7%
Infinite0
Infinite (%)0.0%
Mean147943.0489
Minimum0
Maximum1354829.265
Zeros26277
Zeros (%)8.5%
Memory size2.3 MiB
2021-06-15T19:43:33.826028image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median96662.7
Q3210806.82
95-th percentile476556.4688
Maximum1354829.265
Range1354829.265
Interquartile range (IQR)210806.82

Descriptive statistics

Standard deviation180055.3791
Coefficient of variation (CV)1.217058729
Kurtosis3.355204492
Mean147943.0489
Median Absolute Deviation (MAD)96662.7
Skewness1.726980434
Sum1.152861003e+10
Variance3.241993955e+10
MonotocityNot monotonic
2021-06-15T19:43:34.484405image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0262778.5%
 
9204383< 0.1%
 
19038676< 0.1%
 
138064.567< 0.1%
 
45055< 0.1%
 
69032.2549< 0.1%
 
18408648< 0.1%
 
115053.7540< 0.1%
 
46570.539< 0.1%
 
1570.536< 0.1%
 
Other values (49111)5115616.6%
 
(Missing)22957374.7%
 
ValueCountFrequency (%) 
0262778.5%
 
0.091< 0.1%
 
0.631< 0.1%
 
0.991< 0.1%
 
1.351< 0.1%
 
ValueCountFrequency (%) 
1354829.2651< 0.1%
 
1347979.51< 0.1%
 
1329264.631< 0.1%
 
1218896.641< 0.1%
 
1150643.161< 0.1%
 

cr_max_amt_payment_tot_max
Real number (ℝ≥0)

MISSING
ZEROS

Distinct29034
Distinct (%)37.3%
Missing229573
Missing (%)74.7%
Infinite0
Infinite (%)0.0%
Mean83228.40598
Minimum0
Maximum4278315.69
Zeros25217
Zeros (%)8.2%
Memory size2.3 MiB
2021-06-15T19:43:35.258396image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median22500
Q3108450
95-th percentile398695.68
Maximum4278315.69
Range4278315.69
Interquartile range (IQR)108450

Descriptive statistics

Standard deviation140463.3368
Coefficient of variation (CV)1.687685053
Kurtosis24.67061677
Mean83228.40598
Median Absolute Deviation (MAD)22500
Skewness3.377326019
Sum6485656765
Variance1.972994898e+10
MonotocityNot monotonic
2021-06-15T19:43:35.845838image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0252178.2%
 
225009900.3%
 
135009440.3%
 
450009130.3%
 
90009000.3%
 
180006600.2%
 
270005310.2%
 
112504640.2%
 
900004310.1%
 
675003860.1%
 
Other values (29024)4649015.1%
 
(Missing)22957374.7%
 
ValueCountFrequency (%) 
0252178.2%
 
0.4051< 0.1%
 
0.91< 0.1%
 
3.7351< 0.1%
 
4.513< 0.1%
 
ValueCountFrequency (%) 
4278315.691< 0.1%
 
24952501< 0.1%
 
2436495.2551< 0.1%
 
21150001< 0.1%
 
19813951< 0.1%
 

pc_max_sk_dpd_max
Real number (ℝ≥0)

MISSING
ZEROS

Distinct1328
Distinct (%)0.5%
Missing20544
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean9.2734375
Minimum0
Maximum2744
Zeros235519
Zeros (%)76.6%
Memory size600.6 KiB
2021-06-15T19:43:36.483521image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile16
Maximum2744
Range2744
Interquartile range (IQR)0

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean9.2734375
Median Absolute Deviation (MAD)0
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:43:37.107367image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
023551976.6%
 
149771.6%
 
241231.3%
 
336631.2%
 
431641.0%
 
529251.0%
 
626920.9%
 
724000.8%
 
820690.7%
 
918760.6%
 
Other values (1318)235477.7%
 
(Missing)205446.7%
 
ValueCountFrequency (%) 
023551976.6%
 
149771.6%
 
241231.3%
 
336631.2%
 
431641.0%
 
ValueCountFrequency (%) 
27441< 0.1%
 
27081< 0.1%
 
27021< 0.1%
 
26821< 0.1%
 
26641< 0.1%
 

pc_max_sk_dpd_last
Real number (ℝ≥0)

MISSING
ZEROS

Distinct763
Distinct (%)0.3%
Missing20544
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean3.740234375
Minimum0
Maximum2664
Zeros268377
Zeros (%)87.3%
Memory size600.6 KiB
2021-06-15T19:43:37.826232image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum2664
Range2664
Interquartile range (IQR)0

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean3.740234375
Median Absolute Deviation (MAD)0
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:43:38.540824image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
026837787.3%
 
123380.8%
 
218720.6%
 
316060.5%
 
413010.4%
 
512180.4%
 
610370.3%
 
78270.3%
 
87110.2%
 
96230.2%
 
Other values (753)70452.3%
 
(Missing)205446.7%
 
ValueCountFrequency (%) 
026837787.3%
 
123380.8%
 
218720.6%
 
316060.5%
 
413010.4%
 
ValueCountFrequency (%) 
26641< 0.1%
 
26201< 0.1%
 
26141< 0.1%
 
25802< 0.1%
 
25741< 0.1%
 

pc_max_sk_dpd_def_max
Real number (ℝ≥0)

MISSING
ZEROS

Distinct109
Distinct (%)< 0.1%
Missing20544
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean1.006835938
Minimum0
Maximum1117
Zeros248798
Zeros (%)80.9%
Memory size600.6 KiB
2021-06-15T19:43:39.027225image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum1117
Range1117
Interquartile range (IQR)0

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean1.006835938
Median Absolute Deviation (MAD)0
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:43:39.538288image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
024879880.9%
 
162272.0%
 
241431.3%
 
335511.2%
 
430371.0%
 
527120.9%
 
623750.8%
 
720500.7%
 
816970.6%
 
915030.5%
 
Other values (99)108623.5%
 
(Missing)205446.7%
 
ValueCountFrequency (%) 
024879880.9%
 
162272.0%
 
241431.3%
 
335511.2%
 
430371.0%
 
ValueCountFrequency (%) 
11171< 0.1%
 
2801< 0.1%
 
2151< 0.1%
 
1631< 0.1%
 
1351< 0.1%
 

pc_max_sk_dpd_def_last
Real number (ℝ≥0)

MISSING
ZEROS

Distinct98
Distinct (%)< 0.1%
Missing20544
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean0.3427734375
Minimum0
Maximum215
Zeros272894
Zeros (%)88.7%
Memory size600.6 KiB
2021-06-15T19:43:40.294276image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum215
Range215
Interquartile range (IQR)0

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean0.3427734375
Median Absolute Deviation (MAD)0
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:43:41.984651image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
027289488.7%
 
125810.8%
 
217770.6%
 
315040.5%
 
412040.4%
 
510550.3%
 
68780.3%
 
77080.2%
 
85500.2%
 
94790.2%
 
Other values (88)33251.1%
 
(Missing)205446.7%
 
ValueCountFrequency (%) 
027289488.7%
 
125810.8%
 
217770.6%
 
315040.5%
 
412040.4%
 
ValueCountFrequency (%) 
2151< 0.1%
 
1421< 0.1%
 
1332< 0.1%
 
1301< 0.1%
 
1211< 0.1%
 

cr_max_sk_dpd_max
Real number (ℝ≥0)

MISSING
ZEROS

Distinct375
Distinct (%)0.5%
Missing229573
Missing (%)74.7%
Infinite0
Infinite (%)0.0%
Mean12.4609375
Minimum0
Maximum2770
Zeros65349
Zeros (%)21.3%
Memory size600.6 KiB
2021-06-15T19:43:42.643734image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8
Maximum2770
Range2770
Interquartile range (IQR)0

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean12.4609375
Median Absolute Deviation (MAD)0
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:43:43.050641image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
06534921.3%
 
173152.4%
 
814140.5%
 
75720.2%
 
184340.1%
 
322970.1%
 
282260.1%
 
191790.1%
 
51740.1%
 
31147< 0.1%
 
Other values (365)18190.6%
 
(Missing)22957374.7%
 
ValueCountFrequency (%) 
06534921.3%
 
173152.4%
 
51740.1%
 
617< 0.1%
 
75720.2%
 
ValueCountFrequency (%) 
27701< 0.1%
 
27421< 0.1%
 
24081< 0.1%
 
24041< 0.1%
 
23741< 0.1%
 

cr_max_sk_dpd_last
Real number (ℝ≥0)

MISSING
ZEROS

Distinct373
Distinct (%)0.5%
Missing229573
Missing (%)74.7%
Infinite0
Infinite (%)0.0%
Mean12.421875
Minimum0
Maximum2770
Zeros65429
Zeros (%)21.3%
Memory size600.6 KiB
2021-06-15T19:43:43.686278image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile8
Maximum2770
Range2770
Interquartile range (IQR)0

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean12.421875
Median Absolute Deviation (MAD)0
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:43:44.298671image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
06542921.3%
 
172552.4%
 
814120.5%
 
75710.2%
 
184330.1%
 
322930.1%
 
282260.1%
 
191790.1%
 
51740.1%
 
31145< 0.1%
 
Other values (363)18090.6%
 
(Missing)22957374.7%
 
ValueCountFrequency (%) 
06542921.3%
 
172552.4%
 
51740.1%
 
616< 0.1%
 
75710.2%
 
ValueCountFrequency (%) 
27701< 0.1%
 
27421< 0.1%
 
24081< 0.1%
 
24041< 0.1%
 
23741< 0.1%
 

cr_max_sk_dpd_def_max
Real number (ℝ≥0)

MISSING
ZEROS

Distinct36
Distinct (%)< 0.1%
Missing229573
Missing (%)74.7%
Infinite0
Infinite (%)0.0%
Mean0.4509277344
Minimum0
Maximum151
Zeros67937
Zeros (%)22.1%
Memory size600.6 KiB
2021-06-15T19:43:44.785549image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum151
Range151
Interquartile range (IQR)0

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean0.4509277344
Median Absolute Deviation (MAD)0
Skewnessnan
Sum35104
Varianceinf
MonotocityNot monotonic
2021-06-15T19:43:45.293143image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%) 
06793722.1%
 
179032.6%
 
89280.3%
 
73840.1%
 
51650.1%
 
18134< 0.1%
 
32115< 0.1%
 
1252< 0.1%
 
1948< 0.1%
 
3140< 0.1%
 
Other values (26)2200.1%
 
(Missing)22957374.7%
 
ValueCountFrequency (%) 
06793722.1%
 
179032.6%
 
51650.1%
 
622< 0.1%
 
73840.1%
 
ValueCountFrequency (%) 
1512< 0.1%
 
1381< 0.1%
 
1301< 0.1%
 
1201< 0.1%
 
901< 0.1%
 

cr_max_sk_dpd_def_last
Real number (ℝ≥0)

MISSING
ZEROS

Distinct36
Distinct (%)< 0.1%
Missing229573
Missing (%)74.7%
Infinite0
Infinite (%)0.0%
Mean0.4489746094
Minimum0
Maximum151
Zeros68007
Zeros (%)22.1%
Memory size600.6 KiB
2021-06-15T19:43:45.806311image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum151
Range151
Interquartile range (IQR)0

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean0.4489746094
Median Absolute Deviation (MAD)0
Skewnessnan
Sum34976
Varianceinf
MonotocityNot monotonic
2021-06-15T19:43:46.275146image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%) 
06800722.1%
 
178392.5%
 
89260.3%
 
73840.1%
 
51650.1%
 
18134< 0.1%
 
32115< 0.1%
 
1252< 0.1%
 
1948< 0.1%
 
3139< 0.1%
 
Other values (26)2170.1%
 
(Missing)22957374.7%
 
ValueCountFrequency (%) 
06800722.1%
 
178392.5%
 
51650.1%
 
620< 0.1%
 
73840.1%
 
ValueCountFrequency (%) 
1512< 0.1%
 
1381< 0.1%
 
1301< 0.1%
 
1201< 0.1%
 
901< 0.1%
 

loan_durtn_1st_ver_sum
Real number (ℝ≥0)

MISSING
ZEROS

Distinct1025
Distinct (%)0.4%
Missing16454
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean1126
Minimum0
Maximum13768
Zeros4329
Zeros (%)1.4%
Memory size600.6 KiB
2021-06-15T19:43:46.826519image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile150
Q1330
median750
Q31530
95-th percentile3300
Maximum13768
Range13768
Interquartile range (IQR)1200

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean1126
Median Absolute Deviation (MAD)450
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:43:47.454737image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3303171710.3%
 
150178205.8%
 
270151244.9%
 
690125434.1%
 
66095763.1%
 
48093793.1%
 
60069062.2%
 
102065432.1%
 
51061392.0%
 
84058031.9%
 
Other values (1015)16949555.1%
 
(Missing)164545.4%
 
ValueCountFrequency (%) 
043291.4%
 
271< 0.1%
 
60113< 0.1%
 
9025810.8%
 
1081< 0.1%
 
ValueCountFrequency (%) 
137681< 0.1%
 
136481< 0.1%
 
135281< 0.1%
 
132641< 0.1%
 
130481< 0.1%
 

loan_durtn_1st_ver_mean
Real number (ℝ≥0)

MISSING

Distinct1575
Distinct (%)0.5%
Missing20783
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean411.25
Minimum27
Maximum2130
Zeros0
Zeros (%)0.0%
Memory size600.6 KiB
2021-06-15T19:43:48.050385image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile150
Q1270
median330
Q3510
95-th percentile870
Maximum2130
Range2104
Interquartile range (IQR)240

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean411.25
Median Absolute Deviation (MAD)105
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:43:48.600917image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3304665115.2%
 
270244017.9%
 
150230977.5%
 
690164785.4%
 
510145354.7%
 
210113103.7%
 
240110083.6%
 
30079102.6%
 
39067782.2%
 
42067072.2%
 
Other values (1565)11784138.3%
 
(Missing)207836.8%
 
ValueCountFrequency (%) 
271< 0.1%
 
60116< 0.1%
 
701< 0.1%
 
7512< 0.1%
 
802< 0.1%
 
ValueCountFrequency (%) 
21307< 0.1%
 
19503< 0.1%
 
17971< 0.1%
 
17891< 0.1%
 
17706000.2%
 

days_decision_mean
Real number (ℝ)

MISSING

Distinct5201
Distinct (%)1.8%
Missing16454
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean-919.5
Minimum-2922
Maximum-2
Zeros0
Zeros (%)0.0%
Memory size600.6 KiB
2021-06-15T19:43:49.244964image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-2922
5-th percentile-2088
Q1-1247
median-789
Q3-466.75
95-th percentile-232
Maximum-2
Range2920
Interquartile range (IQR)780.25

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)-inf
Kurtosisnan
Mean-919.5
Median Absolute Deviation (MAD)367.75
Skewnessnan
Sum-inf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:43:49.744339image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-10822010.1%
 
-10401930.1%
 
-10281930.1%
 
-11061890.1%
 
-10841870.1%
 
-11301820.1%
 
-10721820.1%
 
-11321800.1%
 
-5171800.1%
 
-12161790.1%
 
Other values (5191)28917994.0%
 
(Missing)164545.4%
 
ValueCountFrequency (%) 
-29229< 0.1%
 
-292022< 0.1%
 
-29188< 0.1%
 
-291624< 0.1%
 
-29149< 0.1%
 
ValueCountFrequency (%) 
-210< 0.1%
 
-311< 0.1%
 
-3.3339843751< 0.1%
 
-3.52< 0.1%
 
-3.714843751< 0.1%
 

days_decision_last
Real number (ℝ)

MISSING

Distinct2485
Distinct (%)0.9%
Missing16454
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean-480.75
Minimum-2922
Maximum-1
Zeros0
Zeros (%)0.0%
Memory size600.6 KiB
2021-06-15T19:43:50.356844image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-2922
5-th percentile-1770
Q1-595
median-299
Q3-147
95-th percentile-22
Maximum-1
Range2920
Interquartile range (IQR)448

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)-inf
Kurtosisnan
Mean-480.75
Median Absolute Deviation (MAD)190
Skewnessnan
Sum-inf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:43:50.973953image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-78700.3%
 
-38440.3%
 
-48200.3%
 
-287420.2%
 
-67420.2%
 
-87400.2%
 
-217390.2%
 
-57280.2%
 
-147240.2%
 
-207210.2%
 
Other values (2475)28337592.2%
 
(Missing)164545.4%
 
ValueCountFrequency (%) 
-29229< 0.1%
 
-292022< 0.1%
 
-29188< 0.1%
 
-291624< 0.1%
 
-29149< 0.1%
 
ValueCountFrequency (%) 
-11< 0.1%
 
-26230.2%
 
-38440.3%
 
-48200.3%
 
-57280.2%
 

cr_rt_max_balance_cr_max
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4780
Distinct (%)6.2%
Missing230452
Missing (%)74.9%
Infinite0
Infinite (%)0.0%
Mean0.5795898438
Minimum0
Maximum3.505859375
Zeros25531
Zeros (%)8.3%
Memory size600.6 KiB
2021-06-15T19:43:51.642601image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.7797851562
Q31.037109375
95-th percentile1.086914062
Maximum3.505859375
Range3.505859375
Interquartile range (IQR)1.037109375

Descriptive statistics

Standard deviation0.4770507812
Coefficient of variation (CV)0.8232421875
Kurtosisnan
Mean0.5795898438
Median Absolute Deviation (MAD)0.2973632812
Skewnessnan
Sum44640
Variance0.2276611328
MonotocityNot monotonic
2021-06-15T19:43:52.356457image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0255318.3%
 
1.0224609385930.2%
 
1.0576171885150.2%
 
1.0498046884790.2%
 
1.0449218754310.1%
 
1.05468754250.1%
 
1.0458984384230.1%
 
1.0439453124050.1%
 
1.0488281254010.1%
 
1.0419921884000.1%
 
Other values (4770)4744415.4%
 
(Missing)23045274.9%
 
ValueCountFrequency (%) 
0255318.3%
 
2.384185791e-071< 0.1%
 
1.072883606e-061< 0.1%
 
4.649162292e-061< 0.1%
 
8.583068848e-061< 0.1%
 
ValueCountFrequency (%) 
3.5058593751< 0.1%
 
2.8535156251< 0.1%
 
2.691406251< 0.1%
 
2.667968751< 0.1%
 
2.468751< 0.1%
 

cr_rt_max_payment_inst_max
Real number (ℝ≥0)

MISSING

Distinct6662
Distinct (%)13.0%
Missing256217
Missing (%)83.3%
Infinite0
Infinite (%)0.0%
Mean14.8828125
Minimum0
Maximum17376
Zeros8
Zeros (%)< 0.1%
Memory size600.6 KiB
2021-06-15T19:43:52.926053image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.017578125
Q12.4140625
median10.625
Q319.546875
95-th percentile25.09375
Maximum17376
Range17376
Interquartile range (IQR)17.1328125

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean14.8828125
Median Absolute Deviation (MAD)8.578125
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:43:53.482873image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
27440.2%
 
204320.1%
 
13420.1%
 
33030.1%
 
42900.1%
 
52210.1%
 
101950.1%
 
211930.1%
 
2.666015625141< 0.1%
 
19139< 0.1%
 
Other values (6652)4828215.7%
 
(Missing)25621783.3%
 
ValueCountFrequency (%) 
08< 0.1%
 
0.0011043548581< 0.1%
 
0.0013799667361< 0.1%
 
0.0061836242681< 0.1%
 
0.010002136231< 0.1%
 
ValueCountFrequency (%) 
173761< 0.1%
 
85841< 0.1%
 
52801< 0.1%
 
44401< 0.1%
 
40261< 0.1%
 

in_rt_cnt_deficit_pmt_mean
Real number (ℝ≥0)

MISSING
ZEROS

Distinct5862
Distinct (%)2.0%
Missing18113
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean0.07299804688
Minimum0
Maximum1
Zeros168189
Zeros (%)54.7%
Memory size600.6 KiB
2021-06-15T19:43:54.300049image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.09521484375
95-th percentile0.3530273438
Maximum1
Range1
Interquartile range (IQR)0.09521484375

Descriptive statistics

Standard deviation0.1341552734
Coefficient of variation (CV)1.837890625
Kurtosisnan
Mean0.07299804688
Median Absolute Deviation (MAD)0
Skewnessnan
Sum21136
Variance0.0179901123
MonotocityNot monotonic
2021-06-15T19:43:55.136791image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
016818954.7%
 
0.142822265626760.9%
 
0.285644531224950.8%
 
0.166625976624780.8%
 
0.0769042968819950.6%
 
0.0952148437519670.6%
 
0.153808593819370.6%
 
0.199951171918410.6%
 
0.0833129882816110.5%
 
0.111083984415970.5%
 
Other values (5852)10260033.4%
 
(Missing)181135.9%
 
ValueCountFrequency (%) 
016818954.7%
 
0.0012607574461< 0.1%
 
0.0013160705571< 0.1%
 
0.0013275146481< 0.1%
 
0.0013694763181< 0.1%
 
ValueCountFrequency (%) 
155< 0.1%
 
0.98583984381< 0.1%
 
0.97802734381< 0.1%
 
0.9589843751< 0.1%
 
0.95849609381< 0.1%
 

in_rt_cnt_deficit_pmt_max
Real number (ℝ≥0)

MISSING
ZEROS

Distinct1544
Distinct (%)0.5%
Missing18113
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean0.1541748047
Minimum0
Maximum1
Zeros168189
Zeros (%)54.7%
Memory size600.6 KiB
2021-06-15T19:43:55.711022image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.2702636719
95-th percentile0.7001953125
Maximum1
Range1
Interquartile range (IQR)0.2702636719

Descriptive statistics

Standard deviation0.2390136719
Coefficient of variation (CV)1.549804688
Kurtosisnan
Mean0.1541748047
Median Absolute Deviation (MAD)0
Skewnessnan
Sum44576
Variance0.05712890625
MonotocityNot monotonic
2021-06-15T19:43:56.443202image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
016818954.7%
 
0.2856445312119543.9%
 
0.153808593881542.7%
 
0.568212.2%
 
0.399902343864332.1%
 
0.666503906257351.9%
 
0.181762695357011.9%
 
0.333251953147331.5%
 
0.222167968834851.1%
 
0.199951171927800.9%
 
Other values (1534)6540121.3%
 
(Missing)181135.9%
 
ValueCountFrequency (%) 
016818954.7%
 
0.0058479309081< 0.1%
 
0.0067558288571< 0.1%
 
0.0079345703121< 0.1%
 
0.0081939697271< 0.1%
 
ValueCountFrequency (%) 
17330.2%
 
0.97851562511< 0.1%
 
0.97753906252< 0.1%
 
0.97412109382< 0.1%
 
0.97314453123< 0.1%
 

in_rt_cnt_surplus_pmt_mean
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2462
Distinct (%)0.9%
Missing18113
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean0.01693725586
Minimum0
Maximum1
Zeros252168
Zeros (%)82.0%
Memory size600.6 KiB
2021-06-15T19:43:57.175959image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.1110839844
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.06689453125
Coefficient of variation (CV)3.94921875
Kurtosisnan
Mean0.01693725586
Median Absolute Deviation (MAD)0
Skewnessnan
Sum4904
Variance0.004474639893
MonotocityNot monotonic
2021-06-15T19:43:57.742473image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
025216882.0%
 
0.166625976613030.4%
 
0.0833129882811010.4%
 
0.11108398449240.3%
 
0.066650390628670.3%
 
0.099975585948580.3%
 
0.19995117198420.3%
 
0.258200.3%
 
0.055541992197700.3%
 
0.13330078127400.2%
 
Other values (2452)289939.4%
 
(Missing)181135.9%
 
ValueCountFrequency (%) 
025216882.0%
 
0.0021286010741< 0.1%
 
0.0036239624021< 0.1%
 
0.003906251< 0.1%
 
0.0039215087891< 0.1%
 
ValueCountFrequency (%) 
123< 0.1%
 
0.96972656251< 0.1%
 
0.96533203121< 0.1%
 
0.95654296882< 0.1%
 
0.95214843751< 0.1%
 

in_rt_cnt_surplus_pmt_max
Real number (ℝ≥0)

MISSING
ZEROS

Distinct298
Distinct (%)0.1%
Missing18113
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean0.04202270508
Minimum0
Maximum1
Zeros252168
Zeros (%)82.0%
Memory size600.6 KiB
2021-06-15T19:43:58.329887image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.3332519531
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1368408203
Coefficient of variation (CV)3.255859375
Kurtosisnan
Mean0.04202270508
Median Absolute Deviation (MAD)0
Skewnessnan
Sum12152
Variance0.01872253418
MonotocityNot monotonic
2021-06-15T19:43:58.915096image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
025216882.0%
 
0.285644531223330.8%
 
0.399902343823230.8%
 
0.522530.7%
 
0.666503906222300.7%
 
0.333251953121780.7%
 
0.2517460.6%
 
0.199951171916860.5%
 
0.222167968816370.5%
 
0.153808593815850.5%
 
Other values (288)192476.3%
 
(Missing)181135.9%
 
ValueCountFrequency (%) 
025216882.0%
 
0.021270751951< 0.1%
 
0.025970458981< 0.1%
 
0.026321411132< 0.1%
 
0.027023315431< 0.1%
 
ValueCountFrequency (%) 
15590.2%
 
0.98095703121< 0.1%
 
0.980468751< 0.1%
 
0.9785156252< 0.1%
 
0.97656251< 0.1%
 

in_rt_amt_deficit_inst_mean
Real number (ℝ≥0)

MISSING
ZEROS

Distinct9944
Distinct (%)3.4%
Missing18107
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean0.03466796875
Minimum0
Maximum0.6665039062
Zeros168195
Zeros (%)54.7%
Memory size600.6 KiB
2021-06-15T19:43:59.630694image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.0442199707
95-th percentile0.1677246094
Maximum0.6665039062
Range0.6665039062
Interquartile range (IQR)0.0442199707

Descriptive statistics

Standard deviation0.06597900391
Coefficient of variation (CV)1.903320312
Kurtosisnan
Mean0.03466796875
Median Absolute Deviation (MAD)0
Skewnessnan
Sum10024
Variance0.00435256958
MonotocityNot monotonic
2021-06-15T19:44:00.280447image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
016819554.7%
 
0.142822265611470.4%
 
0.0714111328110080.3%
 
0.071472167977890.3%
 
0.083312988287580.2%
 
0.076904296887420.2%
 
0.1257060.2%
 
0.14294433597040.2%
 
0.16662597667000.2%
 
0.038452148446210.2%
 
Other values (9934)11402237.1%
 
(Missing)181075.9%
 
ValueCountFrequency (%) 
016819554.7%
 
1.192092896e-071< 0.1%
 
1.788139343e-071< 0.1%
 
2.384185791e-071< 0.1%
 
4.172325134e-073< 0.1%
 
ValueCountFrequency (%) 
0.66650390621< 0.1%
 
0.59814453121< 0.1%
 
0.57470703121< 0.1%
 
0.55126953121< 0.1%
 
0.53857421881< 0.1%
 

in_rt_amt_deficit_inst_max
Real number (ℝ≥0)

MISSING
ZEROS

Distinct8404
Distinct (%)2.9%
Missing18107
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean0.07336425781
Minimum0
Maximum0.9995117188
Zeros168195
Zeros (%)54.7%
Memory size600.6 KiB
2021-06-15T19:44:00.794508image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.1112670898
95-th percentile0.3347167969
Maximum0.9995117188
Range0.9995117188
Interquartile range (IQR)0.1112670898

Descriptive statistics

Standard deviation0.1178588867
Coefficient of variation (CV)1.606445312
Kurtosisnan
Mean0.07336425781
Median Absolute Deviation (MAD)0
Skewnessnan
Sum21248
Variance0.01389312744
MonotocityNot monotonic
2021-06-15T19:44:01.354438image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
016819554.7%
 
0.142822265646821.5%
 
0.142944335942371.4%
 
0.2536041.2%
 
0.333251953128670.9%
 
0.0769042968825870.8%
 
0.0769653320324730.8%
 
0.199951171919210.6%
 
0.0909423828115750.5%
 
0.200073242215370.5%
 
Other values (8394)9571431.1%
 
(Missing)181075.9%
 
ValueCountFrequency (%) 
016819554.7%
 
1.788139343e-071< 0.1%
 
2.384185791e-071< 0.1%
 
4.172325134e-072< 0.1%
 
4.768371582e-072< 0.1%
 
ValueCountFrequency (%) 
0.99951171881< 0.1%
 
0.99902343751< 0.1%
 
0.98388671881< 0.1%
 
0.9785156251< 0.1%
 
0.96386718751< 0.1%
 

in_rt_amt_deficit_inst_last
Real number (ℝ≥0)

MISSING
ZEROS

Distinct7061
Distinct (%)2.4%
Missing18107
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean0.03099060059
Minimum0
Maximum0.9995117188
Zeros229304
Zeros (%)74.6%
Memory size600.6 KiB
2021-06-15T19:44:01.897980image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.2142333984
Maximum0.9995117188
Range0.9995117188
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07928466797
Coefficient of variation (CV)2.55859375
Kurtosisnan
Mean0.03099060059
Median Absolute Deviation (MAD)0
Skewnessnan
Sum8968
Variance0.006282806396
MonotocityNot monotonic
2021-06-15T19:44:02.440479image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
022930474.6%
 
0.142822265628160.9%
 
0.0769042968818460.6%
 
0.2517180.6%
 
0.333251953112330.4%
 
0.199951171911550.4%
 
0.142944335911240.4%
 
0.16662597669530.3%
 
0.076965332038590.3%
 
0.090881347667280.2%
 
Other values (7051)4765615.5%
 
(Missing)181075.9%
 
ValueCountFrequency (%) 
022930474.6%
 
1.788139343e-071< 0.1%
 
2.384185791e-071< 0.1%
 
4.172325134e-073< 0.1%
 
4.768371582e-072< 0.1%
 
ValueCountFrequency (%) 
0.99951171881< 0.1%
 
0.99902343751< 0.1%
 
0.98388671881< 0.1%
 
0.9785156251< 0.1%
 
0.96386718751< 0.1%
 

in_rt_amt_surplus_inst_mean
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6635
Distinct (%)2.3%
Missing18114
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean0.02180480957
Minimum0
Maximum4.484375
Zeros252176
Zeros (%)82.0%
Memory size600.6 KiB
2021-06-15T19:44:03.218413image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.1623535156
Maximum4.484375
Range4.484375
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0791015625
Coefficient of variation (CV)3.626953125
Kurtosisnan
Mean0.02180480957
Median Absolute Deviation (MAD)0
Skewnessnan
Sum6308
Variance0.006256103516
MonotocityNot monotonic
2021-06-15T19:44:04.026181image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
025217682.0%
 
0.5100< 0.1%
 
0.333251953198< 0.1%
 
0.2565< 0.1%
 
0.199951171965< 0.1%
 
0.142822265636< 0.1%
 
0.166625976632< 0.1%
 
0.139282226627< 0.1%
 
0.126342773425< 0.1%
 
0.174682617225< 0.1%
 
Other values (6625)3673611.9%
 
(Missing)181145.9%
 
ValueCountFrequency (%) 
025217682.0%
 
9.298324585e-061< 0.1%
 
0.00010848045351< 0.1%
 
0.00099277496341< 0.1%
 
0.0015783309941< 0.1%
 
ValueCountFrequency (%) 
4.4843751< 0.1%
 
121< 0.1%
 
0.99511718751< 0.1%
 
0.99072265621< 0.1%
 
0.9902343751< 0.1%
 

in_rt_amt_surplus_inst_max
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4832
Distinct (%)1.7%
Missing18114
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean0.05718994141
Minimum0
Maximum4.484375
Zeros252176
Zeros (%)82.0%
Memory size600.6 KiB
2021-06-15T19:44:04.604615image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.509765625
Maximum4.484375
Range4.484375
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1755371094
Coefficient of variation (CV)3.0703125
Kurtosisnan
Mean0.05718994141
Median Absolute Deviation (MAD)0
Skewnessnan
Sum16560
Variance0.03079223633
MonotocityNot monotonic
2021-06-15T19:44:05.230083image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
025217682.0%
 
15520.2%
 
0.286865234440< 0.1%
 
0.496826171936< 0.1%
 
0.55273437533< 0.1%
 
0.7226562530< 0.1%
 
0.327636718830< 0.1%
 
0.540039062530< 0.1%
 
0.6367187530< 0.1%
 
0.622070312530< 0.1%
 
Other values (4822)3639811.8%
 
(Missing)181145.9%
 
ValueCountFrequency (%) 
025217682.0%
 
0.00010240077971< 0.1%
 
0.0010852813721< 0.1%
 
0.0029792785641< 0.1%
 
0.0046577453611< 0.1%
 
ValueCountFrequency (%) 
4.4843751< 0.1%
 
15520.2%
 
0.99951171889< 0.1%
 
0.99902343752< 0.1%
 
0.99853515621< 0.1%
 

in_rt_amt_surplus_inst_last
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4378
Distinct (%)1.5%
Missing18108
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean0.03771972656
Minimum0
Maximum4.484375
Zeros266032
Zeros (%)86.5%
Memory size600.6 KiB
2021-06-15T19:44:05.919300image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.3449707031
Maximum4.484375
Range4.484375
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1481933594
Coefficient of variation (CV)3.9296875
Kurtosisnan
Mean0.03771972656
Median Absolute Deviation (MAD)0
Skewnessnan
Sum10904
Variance0.02197265625
MonotocityNot monotonic
2021-06-15T19:44:06.550825image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
026603286.5%
 
14940.2%
 
0.55273437523< 0.1%
 
0.7226562522< 0.1%
 
0.573242187522< 0.1%
 
0.7539062521< 0.1%
 
0.548339843821< 0.1%
 
0.582519531220< 0.1%
 
0.56054687520< 0.1%
 
0.529785156220< 0.1%
 
Other values (4368)226967.4%
 
(Missing)181085.9%
 
ValueCountFrequency (%) 
026603286.5%
 
0.0083389282231< 0.1%
 
0.019424438481< 0.1%
 
0.019454956051< 0.1%
 
0.020217895511< 0.1%
 
ValueCountFrequency (%) 
4.4843751< 0.1%
 
14940.2%
 
0.99951171885< 0.1%
 
0.99902343752< 0.1%
 
0.9980468751< 0.1%
 

rt_credit_application_mean
Real number (ℝ≥0)

MISSING

Distinct1806
Distinct (%)0.7%
Missing59572
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean1.014648438
Minimum0.1999511719
Maximum10.1796875
Zeros0
Zeros (%)0.0%
Memory size600.6 KiB
2021-06-15T19:44:07.129663image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.1999511719
5-th percentile0.8486328125
Q10.9692382812
median1.016601562
Q31.073242188
95-th percentile1.158203125
Maximum10.1796875
Range9.9765625
Interquartile range (IQR)0.1040039062

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean1.014648438
Median Absolute Deviation (MAD)0.052734375
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:44:07.631287image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1196986.4%
 
0.899902343869262.3%
 
1.1054687540591.3%
 
1.05273437538691.3%
 
1.0664062523810.8%
 
0.950195312522030.7%
 
1.09863281220530.7%
 
1.03320312520260.7%
 
1.08789062519900.6%
 
0.799804687517220.6%
 
Other values (1796)20100065.4%
 
(Missing)5957219.4%
 
ValueCountFrequency (%) 
0.19995117192< 0.1%
 
0.21350097661< 0.1%
 
0.21838378911< 0.1%
 
0.22058105471< 0.1%
 
0.22973632811< 0.1%
 
ValueCountFrequency (%) 
10.17968751< 0.1%
 
6.6251< 0.1%
 
5.519531251< 0.1%
 
4.738281251< 0.1%
 
4.41406251< 0.1%
 

rt_credit_application_max
Real number (ℝ≥0)

MISSING

Distinct1784
Distinct (%)0.7%
Missing59572
Missing (%)19.4%
Infinite0
Infinite (%)0.0%
Mean1.096679688
Minimum0.1999511719
Maximum17
Zeros0
Zeros (%)0.0%
Memory size600.6 KiB
2021-06-15T19:44:08.244386image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.1999511719
5-th percentile0.8999023438
Q11
median1.098632812
Q31.171875
95-th percentile1.31640625
Maximum17
Range16.796875
Interquartile range (IQR)0.171875

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean1.096679688
Median Absolute Deviation (MAD)0.0986328125
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:44:08.789674image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
14074513.3%
 
1.10546875111203.6%
 
0.899902343875592.5%
 
1.09863281273782.4%
 
1.0664062567552.2%
 
1.19824218863202.1%
 
1.13183593862042.0%
 
1.05273437550051.6%
 
1.15820312548081.6%
 
1.210937546651.5%
 
Other values (1774)14736847.9%
 
(Missing)5957219.4%
 
ValueCountFrequency (%) 
0.19995117192< 0.1%
 
0.21350097661< 0.1%
 
0.21838378911< 0.1%
 
0.22058105471< 0.1%
 
0.22973632811< 0.1%
 
ValueCountFrequency (%) 
172< 0.1%
 
13.33593751< 0.1%
 
132< 0.1%
 
104< 0.1%
 
9.51< 0.1%
 

rt_credit_application_last
Real number (ℝ≥0)

MISSING

Distinct1944
Distinct (%)0.7%
Missing24050
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean1.04296875
Minimum0.04998779297
Maximum10
Zeros0
Zeros (%)0.0%
Memory size600.6 KiB
2021-06-15T19:44:09.382761image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.04998779297
5-th percentile0.822265625
Q11
median1
Q31.116210938
95-th percentile1.241210938
Maximum10
Range9.953125
Interquartile range (IQR)0.1162109375

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean1.04296875
Median Absolute Deviation (MAD)0.0791015625
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:44:10.030873image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
18778628.5%
 
0.8999023438125854.1%
 
1.1054687589442.9%
 
1.0664062577452.5%
 
1.13183593855621.8%
 
1.05273437550001.6%
 
1.11914062549661.6%
 
1.09863281249151.6%
 
0.799804687549071.6%
 
1.19824218848111.6%
 
Other values (1934)13622844.3%
 
(Missing)240507.8%
 
ValueCountFrequency (%) 
0.049987792971< 0.1%
 
0.099975585942< 0.1%
 
0.11767578122< 0.1%
 
0.11901855471< 0.1%
 
0.13330078124< 0.1%
 
ValueCountFrequency (%) 
102< 0.1%
 
8.53< 0.1%
 
81< 0.1%
 
7.52< 0.1%
 
71< 0.1%
 

rt_annuity_credit_mean
Real number (ℝ≥0)

MISSING

Distinct3365
Distinct (%)1.2%
Missing16872
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean0.108215332
Minimum0.02325439453
Maximum0.3625488281
Zeros0
Zeros (%)0.0%
Memory size600.6 KiB
2021-06-15T19:44:10.590987image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.02325439453
5-th percentile0.04998779297
Q10.07928466797
median0.1025390625
Q30.1275634766
95-th percentile0.1893310547
Maximum0.3625488281
Range0.3393554688
Interquartile range (IQR)0.04827880859

Descriptive statistics

Standard deviation0.04144287109
Coefficient of variation (CV)0.3830566406
Kurtosisnan
Mean0.108215332
Median Absolute Deviation (MAD)0.02392578125
Skewnessnan
Sum31424
Variance0.00171661377
MonotocityNot monotonic
2021-06-15T19:44:11.296477image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.111083984422000.7%
 
0.102539062520640.7%
 
0.0499877929720040.7%
 
0.0933227539119260.6%
 
0.0450439453113770.4%
 
0.113586425811010.4%
 
0.101501464810830.4%
 
0.1007690439990.3%
 
0.11987304699740.3%
 
0.10998535169640.3%
 
Other values (3355)27593589.7%
 
(Missing)168725.5%
 
ValueCountFrequency (%) 
0.023254394531< 0.1%
 
0.023834228521< 0.1%
 
0.024017333981< 0.1%
 
0.02427673341< 0.1%
 
0.025268554691< 0.1%
 
ValueCountFrequency (%) 
0.36254882812< 0.1%
 
0.3613281251< 0.1%
 
0.36035156251< 0.1%
 
0.36010742192< 0.1%
 
0.35986328121< 0.1%
 

rt_annuity_credit_max
Real number (ℝ≥0)

MISSING

Distinct2896
Distinct (%)1.0%
Missing16872
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean0.1508789062
Minimum0.02325439453
Maximum0.8999023438
Zeros0
Zeros (%)0.0%
Memory size600.6 KiB
2021-06-15T19:44:11.798304image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.02325439453
5-th percentile0.05389404297
Q10.1093139648
median0.134765625
Q30.2000732422
95-th percentile0.2663574219
Maximum0.8999023438
Range0.8764648438
Interquartile range (IQR)0.09075927734

Descriptive statistics

Standard deviation0.05978393555
Coefficient of variation (CV)0.3962402344
Kurtosisnan
Mean0.1508789062
Median Absolute Deviation (MAD)0.04620361328
Skewnessnan
Sum43872
Variance0.003574371338
MonotocityNot monotonic
2021-06-15T19:44:12.383781image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.203857421999983.3%
 
0.200683593894113.1%
 
0.111083984483272.7%
 
0.284912109482052.7%
 
0.205566406270462.3%
 
0.119873046946091.5%
 
0.0499877929745471.5%
 
0.266357421943161.4%
 
0.116699218840581.3%
 
0.133422851637791.2%
 
Other values (2886)22633173.6%
 
(Missing)168725.5%
 
ValueCountFrequency (%) 
0.023254394531< 0.1%
 
0.023834228521< 0.1%
 
0.02441406251< 0.1%
 
0.025268554691< 0.1%
 
0.025283813484< 0.1%
 
ValueCountFrequency (%) 
0.89990234381< 0.1%
 
0.51< 0.1%
 
0.47509765621< 0.1%
 
0.42504882811< 0.1%
 
0.3751< 0.1%
 

rt_annuity_credit_last
Real number (ℝ≥0)

MISSING

Distinct3196
Distinct (%)1.1%
Missing16872
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean0.09423828125
Minimum0
Maximum0.5
Zeros1
Zeros (%)< 0.1%
Memory size600.6 KiB
2021-06-15T19:44:13.041511image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0319519043
Q10.04998779297
median0.09161376953
Q30.1135864258
95-th percentile0.2022705078
Maximum0.5
Range0.5
Interquartile range (IQR)0.06359863281

Descriptive statistics

Standard deviation0.05484008789
Coefficient of variation (CV)0.58203125
Kurtosisnan
Mean0.09423828125
Median Absolute Deviation (MAD)0.03994750977
Skewnessnan
Sum27408
Variance0.003005981445
MonotocityNot monotonic
2021-06-15T19:44:13.661153image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.049987792973492711.4%
 
0.113586425847241.5%
 
0.100952148442041.4%
 
0.0933227539138531.3%
 
0.102539062536941.2%
 
0.0450439453132921.1%
 
0.111083984429911.0%
 
0.205566406225940.8%
 
0.0452880859425900.8%
 
0.0292358398424900.8%
 
Other values (3186)22526873.3%
 
(Missing)168725.5%
 
ValueCountFrequency (%) 
01< 0.1%
 
0.0025005340581< 0.1%
 
0.0050010681157< 0.1%
 
0.0055541992193< 0.1%
 
0.0062484741212< 0.1%
 
ValueCountFrequency (%) 
0.51< 0.1%
 
0.47509765621< 0.1%
 
0.36547851561< 0.1%
 
0.36450195311< 0.1%
 
0.36401367191< 0.1%
 

rt_payment_delay_mean
Real number (ℝ≥0)

MISSING
ZEROS

Distinct11094
Distinct (%)3.9%
Missing20783
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean0.04061889648
Minimum0
Maximum25.265625
Zeros147569
Zeros (%)48.0%
Memory size600.6 KiB
2021-06-15T19:44:14.363336image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01454925537
95-th percentile0.1483154297
Maximum25.265625
Range25.265625
Interquartile range (IQR)0.01454925537

Descriptive statistics

Standard deviation0.2680664062
Coefficient of variation (CV)6.59765625
Kurtosisnan
Mean0.04061889648
Median Absolute Deviation (MAD)0
Skewnessnan
Sum11648
Variance0.07189941406
MonotocityNot monotonic
2021-06-15T19:44:14.983903image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
014756948.0%
 
0.00303077697823170.8%
 
0.00606155395515790.5%
 
0.00151538848912970.4%
 
0.0066680908212370.4%
 
0.00144958496111870.4%
 
0.00909423828111420.4%
 
0.0333251953110760.3%
 
0.00370407104510200.3%
 
0.011108398449300.3%
 
Other values (11084)12736241.4%
 
(Missing)207836.8%
 
ValueCountFrequency (%) 
014756948.0%
 
6.276369095e-052< 0.1%
 
6.449222565e-051< 0.1%
 
7.063150406e-056< 0.1%
 
7.092952728e-051< 0.1%
 
ValueCountFrequency (%) 
25.2656251< 0.1%
 
17.06251< 0.1%
 
16.2343751< 0.1%
 
16.1406251< 0.1%
 
15.5468751< 0.1%
 

rt_payment_delay_max
Real number (ℝ≥0)

MISSING
ZEROS

Distinct4762
Distinct (%)1.7%
Missing20783
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean0.08734130859
Minimum0
Maximum40.03125
Zeros147569
Zeros (%)48.0%
Memory size600.6 KiB
2021-06-15T19:44:15.750489image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.03332519531
95-th percentile0.3332519531
Maximum40.03125
Range40.03125
Interquartile range (IQR)0.03332519531

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean0.08734130859
Median Absolute Deviation (MAD)0
Skewnessnan
Sum25024
Varianceinf
MonotocityNot monotonic
2021-06-15T19:44:16.403697image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
014756948.0%
 
0.00303077697839981.3%
 
0.0333251953130671.0%
 
0.00606155395527700.9%
 
0.00909423828122540.7%
 
0.0066680908221670.7%
 
0.0121231079121550.7%
 
0.00144958496118520.6%
 
0.0151519775418290.6%
 
0.0181884765617260.6%
 
Other values (4752)11732938.2%
 
(Missing)207836.8%
 
ValueCountFrequency (%) 
014756948.0%
 
0.00046944618231< 0.1%
 
0.00056505203252630.1%
 
0.000628948211742< 0.1%
 
0.00070905685424130.1%
 
ValueCountFrequency (%) 
40.031251< 0.1%
 
36.281251< 0.1%
 
27.43751< 0.1%
 
25.2656251< 0.1%
 
25.218751< 0.1%
 

rt_payment_delay_last
Real number (ℝ≥0)

MISSING
ZEROS

Distinct3065
Distinct (%)1.1%
Missing20783
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean0.02415466309
Minimum0
Maximum25.265625
Zeros209744
Zeros (%)68.2%
Memory size600.6 KiB
2021-06-15T19:44:17.026347image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.00169467926
95-th percentile0.07843017578
Maximum25.265625
Range25.265625
Interquartile range (IQR)0.00169467926

Descriptive statistics

Standard deviation0.224609375
Coefficient of variation (CV)9.296875
Kurtosisnan
Mean0.02415466309
Median Absolute Deviation (MAD)0
Skewnessnan
Sum6924
Variance0.05047607422
MonotocityNot monotonic
2021-06-15T19:44:17.607196image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
020974468.2%
 
0.00303077697830281.0%
 
0.00606155395520080.7%
 
0.00144958496117570.6%
 
0.0333251953115610.5%
 
0.0066680908215360.5%
 
0.00909423828115110.5%
 
0.0121231079113470.4%
 
0.00289916992212250.4%
 
0.0151519775411540.4%
 
Other values (3055)6184520.1%
 
(Missing)207836.8%
 
ValueCountFrequency (%) 
020974468.2%
 
0.00056505203254310.1%
 
0.00056552886961< 0.1%
 
0.000628948211753< 0.1%
 
0.00070905685425970.2%
 
ValueCountFrequency (%) 
25.2656251< 0.1%
 
17.06251< 0.1%
 
16.2343751< 0.1%
 
16.1406251< 0.1%
 
15.5468751< 0.1%
 

rt_payment_advance_mean
Real number (ℝ≥0)

MISSING

Distinct6778
Distinct (%)2.4%
Missing20784
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean0.3947753906
Minimum0
Maximum8.546875
Zeros659
Zeros (%)0.2%
Memory size600.6 KiB
2021-06-15T19:44:18.201689image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.09466552734
Q10.2233886719
median0.3432617188
Q30.5009765625
95-th percentile0.853515625
Maximum8.546875
Range8.546875
Interquartile range (IQR)0.2775878906

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean0.3947753906
Median Absolute Deviation (MAD)0.1345214844
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:44:19.966226image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.39990234387570.2%
 
0.33325195317390.2%
 
0.26660156257280.2%
 
0.36669921887150.2%
 
0.30004882817010.2%
 
0.43334960946660.2%
 
06590.2%
 
0.23327636726570.2%
 
0.19995117196310.2%
 
0.46655273445740.2%
 
Other values (6768)27988891.0%
 
(Missing)207846.8%
 
ValueCountFrequency (%) 
06590.2%
 
0.00056505203251< 0.1%
 
0.00070905685421< 0.1%
 
0.00081300735471< 0.1%
 
0.00092744827271< 0.1%
 
ValueCountFrequency (%) 
8.5468751< 0.1%
 
8.3751< 0.1%
 
7.8593751< 0.1%
 
7.355468751< 0.1%
 
6.2656251< 0.1%
 

rt_payment_advance_max
Real number (ℝ≥0)

MISSING

Distinct5492
Distinct (%)1.9%
Missing20784
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean0.5703125
Minimum0
Maximum19.21875
Zeros659
Zeros (%)0.2%
Memory size600.6 KiB
2021-06-15T19:44:20.484997image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1181640625
Q10.3100585938
median0.4904785156
Q30.7333984375
95-th percentile1.2421875
Maximum19.21875
Range19.21875
Interquartile range (IQR)0.4233398438

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean0.5703125
Median Absolute Deviation (MAD)0.2038574219
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:44:21.027867image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.399902343816890.5%
 
0.433349609416810.5%
 
0.466552734415680.5%
 
0.366699218815550.5%
 
0.515500.5%
 
0.333251953114870.5%
 
0.53320312514610.5%
 
0.300048828113350.4%
 
0.600097656213250.4%
 
0.566894531213020.4%
 
Other values (5482)27176288.4%
 
(Missing)207846.8%
 
ValueCountFrequency (%) 
06590.2%
 
0.00056505203251< 0.1%
 
0.00070905685421< 0.1%
 
0.00081300735471< 0.1%
 
0.00092744827271< 0.1%
 
ValueCountFrequency (%) 
19.218751< 0.1%
 
16.6406251< 0.1%
 
13.10156251< 0.1%
 
12.22656251< 0.1%
 
10.66406251< 0.1%
 

rt_payment_advance_last
Real number (ℝ≥0)

MISSING

Distinct5446
Distinct (%)1.9%
Missing20784
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean0.3366699219
Minimum0
Maximum10.6640625
Zeros1819
Zeros (%)0.6%
Memory size600.6 KiB
2021-06-15T19:44:21.632071image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.02424621582
Q10.1145019531
median0.2600097656
Q30.4653320312
95-th percentile0.8999023438
Maximum10.6640625
Range10.6640625
Interquartile range (IQR)0.3508300781

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean0.3366699219
Median Absolute Deviation (MAD)0.1645507812
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:44:22.163452image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
018190.6%
 
0.199951171915920.5%
 
0.133300781214640.5%
 
0.266601562514600.5%
 
0.166625976614530.5%
 
0.233276367214430.5%
 
0.0666503906214420.5%
 
0.0999755859414390.5%
 
0.333251953113830.4%
 
0.300048828113380.4%
 
Other values (5436)27188288.4%
 
(Missing)207846.8%
 
ValueCountFrequency (%) 
018190.6%
 
0.00055694580081< 0.1%
 
0.000565052032522< 0.1%
 
0.00062894821171< 0.1%
 
0.000709056854241< 0.1%
 
ValueCountFrequency (%) 
10.66406251< 0.1%
 
9.3906251< 0.1%
 
8.5468751< 0.1%
 
8.3751< 0.1%
 
7.8593751< 0.1%
 

rate_down_payment_mean
Real number (ℝ)

MISSING
ZEROS

Distinct7403
Distinct (%)2.7%
Missing33906
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean0.08190917969
Minimum-7.510185242e-06
Maximum0.9897460938
Zeros76950
Zeros (%)25.0%
Memory size600.6 KiB
2021-06-15T19:44:22.740265image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-7.510185242e-06
5-th percentile0
Q10
median0.06634521484
Q30.1088867188
95-th percentile0.2443847656
Maximum0.9897460938
Range0.9897460938
Interquartile range (IQR)0.1088867188

Descriptive statistics

Standard deviation0.08953857422
Coefficient of variation (CV)1.092773438
Kurtosisnan
Mean0.08190917969
Median Absolute Deviation (MAD)0.05303955078
Skewnessnan
Sum22400
Variance0.008018493652
MonotocityNot monotonic
2021-06-15T19:44:23.296135image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
07695025.0%
 
0.108886718881252.6%
 
0.108947753943391.4%
 
0.0544433593833151.1%
 
0.101379394521670.7%
 
0.0363159179720320.7%
 
0.0544738769519390.6%
 
0.217773437516820.5%
 
0.0994873046916620.5%
 
0.0506896972714570.5%
 
Other values (7393)16992555.3%
 
(Missing)3390611.0%
 
ValueCountFrequency (%) 
-7.510185242e-061< 0.1%
 
07695025.0%
 
1.192092896e-071< 0.1%
 
1.788139343e-073< 0.1%
 
2.384185791e-071< 0.1%
 
ValueCountFrequency (%) 
0.98974609381< 0.1%
 
0.98095703121< 0.1%
 
0.9121093751< 0.1%
 
0.90771484381< 0.1%
 
0.871093752< 0.1%
 

rate_down_payment_max
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6181
Distinct (%)2.3%
Missing33906
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean0.1280517578
Minimum0
Maximum1
Zeros76951
Zeros (%)25.0%
Memory size600.6 KiB
2021-06-15T19:44:23.863636image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.1052856445
Q30.1945800781
95-th percentile0.4125976562
Maximum1
Range1
Interquartile range (IQR)0.1945800781

Descriptive statistics

Standard deviation0.1311035156
Coefficient of variation (CV)1.0234375
Kurtosisnan
Mean0.1280517578
Median Absolute Deviation (MAD)0.104675293
Skewnessnan
Sum35040
Variance0.01719665527
MonotocityNot monotonic
2021-06-15T19:44:24.581085image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
07695125.0%
 
0.1088867188190056.2%
 
0.1089477539111463.6%
 
0.101379394558781.9%
 
0.217773437557811.9%
 
0.217895507844661.5%
 
0.104248046931061.0%
 
0.0994873046929190.9%
 
0.0999755859429080.9%
 
0.100036621126220.9%
 
Other values (6171)13881145.1%
 
(Missing)3390611.0%
 
ValueCountFrequency (%) 
07695125.0%
 
3.576278687e-072< 0.1%
 
4.172325134e-072< 0.1%
 
4.768371582e-072< 0.1%
 
5.960464478e-072< 0.1%
 
ValueCountFrequency (%) 
11< 0.1%
 
0.98974609381< 0.1%
 
0.98095703121< 0.1%
 
0.972656251< 0.1%
 
0.96044921881< 0.1%
 

rate_down_payment_last
Real number (ℝ)

MISSING
ZEROS

Distinct6100
Distinct (%)2.2%
Missing33906
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean0.06988525391
Minimum-1.496076584e-05
Maximum0.9897460938
Zeros151120
Zeros (%)49.1%
Memory size600.6 KiB
2021-06-15T19:44:25.234082image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-1.496076584e-05
5-th percentile0
Q10
median0
Q30.1088867188
95-th percentile0.2790527344
Maximum0.9897460938
Range0.9897460938
Interquartile range (IQR)0.1088867188

Descriptive statistics

Standard deviation0.1066894531
Coefficient of variation (CV)1.526367188
Kurtosisnan
Mean0.06988525391
Median Absolute Deviation (MAD)0
Skewnessnan
Sum19120
Variance0.01138305664
MonotocityNot monotonic
2021-06-15T19:44:26.313402image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
015112049.1%
 
0.1088867188137834.5%
 
0.108947753969302.3%
 
0.217773437540731.3%
 
0.0994873046934751.1%
 
0.101379394531501.0%
 
0.217895507829170.9%
 
0.0999755859420210.7%
 
0.103942871117050.6%
 
0.104248046916580.5%
 
Other values (6090)8276126.9%
 
(Missing)3390611.0%
 
ValueCountFrequency (%) 
-1.496076584e-051< 0.1%
 
015112049.1%
 
2.384185791e-072< 0.1%
 
2.980232239e-071< 0.1%
 
3.576278687e-072< 0.1%
 
ValueCountFrequency (%) 
0.98974609381< 0.1%
 
0.98095703121< 0.1%
 
0.96044921881< 0.1%
 
0.93896484381< 0.1%
 
0.92919921881< 0.1%
 

cnt_payment_sum
Real number (ℝ≥0)

MISSING

Distinct727
Distinct (%)0.2%
Missing16454
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean61.03125
Minimum0
Maximum1788
Zeros2491
Zeros (%)0.8%
Memory size600.6 KiB
2021-06-15T19:44:27.358363image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q118
median36
Q378
95-th percentile195
Maximum1788
Range1788
Interquartile range (IQR)60

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean61.03125
Median Absolute Deviation (MAD)24
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:44:28.048303image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
12290579.4%
 
24190156.2%
 
6145444.7%
 
10131894.3%
 
18126984.1%
 
36114313.7%
 
3086762.8%
 
4882352.7%
 
2269122.2%
 
4265572.1%
 
Other values (717)16073152.3%
 
(Missing)164545.4%
 
ValueCountFrequency (%) 
024910.8%
 
393< 0.1%
 
420720.7%
 
52100.1%
 
6145444.7%
 
ValueCountFrequency (%) 
17881< 0.1%
 
16801< 0.1%
 
15421< 0.1%
 
15181< 0.1%
 
14921< 0.1%
 

cnt_payment_mean
Real number (ℝ≥0)

MISSING

Distinct2190
Distinct (%)0.8%
Missing16869
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean14.53125
Minimum0
Maximum72
Zeros2076
Zeros (%)0.7%
Memory size600.6 KiB
2021-06-15T19:44:28.607341image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.33203125
Q19
median12
Q318
95-th percentile31.5
Maximum72
Range72
Interquartile range (IQR)9

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean14.53125
Median Absolute Deviation (MAD)4
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:44:29.163467image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
123604911.7%
 
6229277.5%
 
10193376.3%
 
24118653.9%
 
18110223.6%
 
8107323.5%
 
991683.0%
 
1158161.9%
 
1456121.8%
 
1551241.7%
 
Other values (2180)15297849.7%
 
(Missing)168695.5%
 
ValueCountFrequency (%) 
020760.7%
 
0.66650390622< 0.1%
 
0.79980468751< 0.1%
 
0.83349609381< 0.1%
 
0.85693359384< 0.1%
 
ValueCountFrequency (%) 
729< 0.1%
 
662< 0.1%
 
641< 0.1%
 
603530.1%
 
59.51< 0.1%
 

cr_sum_cnt_drawings_curr_sum
Real number (ℝ≥0)

MISSING
ZEROS

Distinct546
Distinct (%)0.2%
Missing16454
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean7.22265625
Minimum0
Maximum2298
Zeros238561
Zeros (%)77.6%
Memory size600.6 KiB
2021-06-15T19:44:29.699411image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile43
Maximum2298
Range2298
Interquartile range (IQR)0

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean7.22265625
Median Absolute Deviation (MAD)0
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:44:30.213631image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
023856177.6%
 
119490.6%
 
417690.6%
 
216700.5%
 
316580.5%
 
516490.5%
 
615150.5%
 
814930.5%
 
714460.5%
 
1012900.4%
 
Other values (536)3804512.4%
 
(Missing)164545.4%
 
ValueCountFrequency (%) 
023856177.6%
 
119490.6%
 
216700.5%
 
316580.5%
 
417690.6%
 
ValueCountFrequency (%) 
22981< 0.1%
 
15241< 0.1%
 
14571< 0.1%
 
14421< 0.1%
 
14391< 0.1%
 

cr_sum_cnt_drawings_curr_mean
Real number (ℝ≥0)

MISSING
ZEROS

Distinct605
Distinct (%)0.8%
Missing229573
Missing (%)74.7%
Infinite0
Infinite (%)0.0%
Mean26.890625
Minimum0
Maximum2298
Zeros25442
Zeros (%)8.3%
Memory size600.6 KiB
2021-06-15T19:44:30.724070image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median9
Q331
95-th percentile112
Maximum2298
Range2298
Interquartile range (IQR)31

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean26.890625
Median Absolute Deviation (MAD)9
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:44:31.240509image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0254428.3%
 
119560.6%
 
417690.6%
 
216580.5%
 
316560.5%
 
516510.5%
 
615130.5%
 
814960.5%
 
714400.5%
 
1012900.4%
 
Other values (595)3805512.4%
 
(Missing)22957374.7%
 
ValueCountFrequency (%) 
0254428.3%
 
0.510< 0.1%
 
119560.6%
 
1.59< 0.1%
 
216580.5%
 
ValueCountFrequency (%) 
22981< 0.1%
 
15241< 0.1%
 
14571< 0.1%
 
14421< 0.1%
 
14391< 0.1%
 

in_cnt_payment_sum
Real number (ℝ≥0)

MISSING

Distinct295
Distinct (%)0.1%
Missing16454
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean36.3125
Minimum0
Maximum350
Zeros1659
Zeros (%)0.5%
Memory size600.6 KiB
2021-06-15T19:44:31.757947image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q112
median24
Q347
95-th percentile115
Maximum350
Range350
Interquartile range (IQR)35

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean36.3125
Median Absolute Deviation (MAD)14
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:44:32.284691image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
12126874.1%
 
6122864.0%
 
10118013.8%
 
1181832.7%
 
972942.4%
 
1865502.1%
 
864282.1%
 
1363052.1%
 
1662512.0%
 
1459371.9%
 
Other values (285)20732367.4%
 
(Missing)164545.4%
 
ValueCountFrequency (%) 
016590.5%
 
16860.2%
 
26090.2%
 
324690.8%
 
458791.9%
 
ValueCountFrequency (%) 
3501< 0.1%
 
3451< 0.1%
 
3241< 0.1%
 
3131< 0.1%
 
3071< 0.1%
 

in_cnt_payment_mean
Real number (ℝ≥0)

MISSING

Distinct1738
Distinct (%)0.6%
Missing18105
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean12.6015625
Minimum0
Maximum189
Zeros8
Zeros (%)< 0.1%
Memory size600.6 KiB
2021-06-15T19:44:32.746405image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q17.19921875
median10.140625
Q314.5
95-th percentile28.5
Maximum189
Range189
Interquartile range (IQR)7.30078125

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean12.6015625
Median Absolute Deviation (MAD)3.359375
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:44:33.268522image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6167655.5%
 
10147694.8%
 
12134754.4%
 
9116433.8%
 
8113503.7%
 
11102583.3%
 
7100583.3%
 
588112.9%
 
478762.6%
 
1361372.0%
 
Other values (1728)17825258.0%
 
(Missing)181055.9%
 
ValueCountFrequency (%) 
08< 0.1%
 
17150.2%
 
1.251< 0.1%
 
1.3330078124< 0.1%
 
1.592< 0.1%
 
ValueCountFrequency (%) 
1891< 0.1%
 
1881< 0.1%
 
1861< 0.1%
 
1811< 0.1%
 
1782< 0.1%
 

in_sum_payment_delay_mean
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct4799
Distinct (%)1.7%
Missing18105
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean13.72596691
Minimum0
Maximum82954
Zeros139235
Zeros (%)45.3%
Memory size2.3 MiB
2021-06-15T19:44:33.817739image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.3333333333
Q36.333333333
95-th percentile50.66666667
Maximum82954
Range82954
Interquartile range (IQR)6.333333333

Descriptive statistics

Standard deviation179.7407505
Coefficient of variation (CV)13.09494272
Kurtosis157122.3555
Mean13.72596691
Median Absolute Deviation (MAD)0.3333333333
Skewness347.3404227
Sum3972212.467
Variance32306.73737
MonotocityNot monotonic
2021-06-15T19:44:34.329656image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
013923545.3%
 
182122.7%
 
258711.9%
 
0.547391.5%
 
343181.4%
 
435511.2%
 
528740.9%
 
0.333333333328320.9%
 
1.528250.9%
 
624940.8%
 
Other values (4789)11244336.6%
 
(Missing)181055.9%
 
ValueCountFrequency (%) 
013923545.3%
 
0.041< 0.1%
 
0.055555555561< 0.1%
 
0.058823529411< 0.1%
 
0.06251< 0.1%
 
ValueCountFrequency (%) 
829541< 0.1%
 
158831< 0.1%
 
13839.666671< 0.1%
 
8469.51< 0.1%
 
82671< 0.1%
 

in_sum_payment_delay_max
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct1724
Distinct (%)0.6%
Missing18105
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean31.07284533
Minimum0
Maximum82954
Zeros139235
Zeros (%)45.3%
Memory size2.3 MiB
2021-06-15T19:44:35.227505image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q315
95-th percentile120
Maximum82954
Range82954
Interquartile range (IQR)15

Descriptive statistics

Standard deviation267.9476658
Coefficient of variation (CV)8.623209848
Kurtosis36258.43683
Mean31.07284533
Median Absolute Deviation (MAD)1
Skewness143.9169541
Sum8992295
Variance71795.95162
MonotocityNot monotonic
2021-06-15T19:44:35.911282image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
013923545.3%
 
1126084.1%
 
290472.9%
 
371632.3%
 
469672.3%
 
561052.0%
 
659291.9%
 
750051.6%
 
844161.4%
 
939161.3%
 
Other values (1714)8900328.9%
 
(Missing)181055.9%
 
ValueCountFrequency (%) 
013923545.3%
 
1126084.1%
 
290472.9%
 
371632.3%
 
469672.3%
 
ValueCountFrequency (%) 
829541< 0.1%
 
415091< 0.1%
 
337941< 0.1%
 
317651< 0.1%
 
245331< 0.1%
 

in_sum_payment_delay_last
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct959
Distinct (%)0.3%
Missing18105
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean9.275264864
Minimum0
Maximum82954
Zeros208387
Zeros (%)67.8%
Memory size2.3 MiB
2021-06-15T19:44:36.448553image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile31
Maximum82954
Range82954
Interquartile range (IQR)1

Descriptive statistics

Standard deviation172.8545808
Coefficient of variation (CV)18.6360803
Kurtosis183318.1087
Mean9.275264864
Median Absolute Deviation (MAD)0
Skewness385.5639434
Sum2684206
Variance29878.7061
MonotocityNot monotonic
2021-06-15T19:44:36.959832image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
020838767.8%
 
1113273.7%
 
274722.4%
 
356411.8%
 
450481.6%
 
543231.4%
 
638961.3%
 
731861.0%
 
827440.9%
 
923600.8%
 
Other values (949)3501011.4%
 
(Missing)181055.9%
 
ValueCountFrequency (%) 
020838767.8%
 
1113273.7%
 
274722.4%
 
356411.8%
 
450481.6%
 
ValueCountFrequency (%) 
829541< 0.1%
 
82671< 0.1%
 
73361< 0.1%
 
67731< 0.1%
 
66691< 0.1%
 

in_sum_payment_advance_mean
Real number (ℝ≥0)

MISSING

Distinct5258
Distinct (%)1.8%
Missing18105
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean136.625
Minimum0
Maximum10528
Zeros567
Zeros (%)0.2%
Memory size600.6 KiB
2021-06-15T19:44:37.499146image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile33.5
Q171
median108.625
Q3164.5
95-th percentile324
Maximum10528
Range10528
Interquartile range (IQR)93.5

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean136.625
Median Absolute Deviation (MAD)43.625
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:44:38.042682image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
7110440.3%
 
7710330.3%
 
8310210.3%
 
6010200.3%
 
7310170.3%
 
8110160.3%
 
7810120.3%
 
7010100.3%
 
6610090.3%
 
8510080.3%
 
Other values (5248)27920490.8%
 
(Missing)181055.9%
 
ValueCountFrequency (%) 
05670.2%
 
0.51< 0.1%
 
162< 0.1%
 
1.3330078121< 0.1%
 
1.53< 0.1%
 
ValueCountFrequency (%) 
105281< 0.1%
 
76441< 0.1%
 
59001< 0.1%
 
57761< 0.1%
 
54241< 0.1%
 

in_sum_payment_advance_max
Real number (ℝ≥0)

MISSING

Distinct2031
Distinct (%)0.7%
Missing18105
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean214.25
Minimum0
Maximum10528
Zeros567
Zeros (%)0.2%
Memory size600.6 KiB
2021-06-15T19:44:38.571470image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile41
Q197
median158
Q3257
95-th percentile576
Maximum10528
Range10528
Interquartile range (IQR)160

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean214.25
Median Absolute Deviation (MAD)73
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:44:39.100474image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
10113230.4%
 
10713030.4%
 
12812990.4%
 
10412760.4%
 
10012660.4%
 
11712620.4%
 
11612610.4%
 
9412610.4%
 
10312590.4%
 
11412550.4%
 
Other values (2021)27662990.0%
 
(Missing)181055.9%
 
ValueCountFrequency (%) 
05670.2%
 
160< 0.1%
 
276< 0.1%
 
3102< 0.1%
 
498< 0.1%
 
ValueCountFrequency (%) 
105281< 0.1%
 
82881< 0.1%
 
82401< 0.1%
 
76441< 0.1%
 
69921< 0.1%
 

in_sum_payment_advance_last
Real number (ℝ≥0)

MISSING

Distinct1642
Distinct (%)0.6%
Missing18105
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean125.4375
Minimum0
Maximum10528
Zeros2651
Zeros (%)0.9%
Memory size600.6 KiB
2021-06-15T19:44:39.625688image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q145
median87
Q3154
95-th percentile354
Maximum10528
Range10528
Interquartile range (IQR)109

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean125.4375
Median Absolute Deviation (MAD)50
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:44:40.174866image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
026510.9%
 
3021850.7%
 
4619000.6%
 
3718850.6%
 
5118830.6%
 
4818820.6%
 
5518740.6%
 
5818560.6%
 
6218520.6%
 
3818470.6%
 
Other values (1632)26957987.7%
 
(Missing)181055.9%
 
ValueCountFrequency (%) 
026510.9%
 
17260.2%
 
28880.3%
 
38600.3%
 
49510.3%
 
ValueCountFrequency (%) 
105281< 0.1%
 
82881< 0.1%
 
82401< 0.1%
 
76441< 0.1%
 
64641< 0.1%
 

nflag_insured_on_approval_sum
Real number (ℝ≥0)

MISSING
ZEROS

Distinct19
Distinct (%)< 0.1%
Missing16454
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean0.9682617188
Minimum0
Maximum23
Zeros137756
Zeros (%)44.8%
Memory size600.6 KiB
2021-06-15T19:44:40.682227image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile4
Maximum23
Range23
Interquartile range (IQR)1

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean0.9682617188
Median Absolute Deviation (MAD)1
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:44:41.056501image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%) 
013775644.8%
 
18494527.6%
 
23720712.1%
 
3164415.3%
 
475152.4%
 
536891.2%
 
617190.6%
 
79110.3%
 
83790.1%
 
92180.1%
 
Other values (9)2650.1%
 
(Missing)164545.4%
 
ValueCountFrequency (%) 
013775644.8%
 
18494527.6%
 
23720712.1%
 
3164415.3%
 
475152.4%
 
ValueCountFrequency (%) 
231< 0.1%
 
172< 0.1%
 
163< 0.1%
 
154< 0.1%
 
1413< 0.1%
 

nflag_last_appl_per_contract_sum
Real number (ℝ≥0)

MISSING

Distinct64
Distinct (%)< 0.1%
Missing16454
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean4.83203125
Minimum1
Maximum73
Zeros0
Zeros (%)0.0%
Memory size600.6 KiB
2021-06-15T19:44:41.519505image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile13
Maximum73
Range72
Interquartile range (IQR)4

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean4.83203125
Median Absolute Deviation (MAD)2
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:44:42.041436image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
15258117.1%
 
24596114.9%
 
34022613.1%
 
43309710.8%
 
5267298.7%
 
6210246.8%
 
7163985.3%
 
8127594.1%
 
996653.1%
 
1075862.5%
 
Other values (54)250198.1%
 
(Missing)164545.4%
 
ValueCountFrequency (%) 
15258117.1%
 
24596114.9%
 
34022613.1%
 
43309710.8%
 
5267298.7%
 
ValueCountFrequency (%) 
731< 0.1%
 
721< 0.1%
 
671< 0.1%
 
642< 0.1%
 
631< 0.1%
 

nflag_last_appl_in_day_sum
Real number (ℝ≥0)

MISSING

Distinct68
Distinct (%)< 0.1%
Missing16454
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean4.83984375
Minimum0
Maximum73
Zeros42
Zeros (%)< 0.1%
Memory size600.6 KiB
2021-06-15T19:44:42.573465image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median4
Q36
95-th percentile13
Maximum73
Range73
Interquartile range (IQR)4

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean4.83984375
Median Absolute Deviation (MAD)2
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:44:42.923991image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
15256517.1%
 
24589214.9%
 
34015913.1%
 
43303710.7%
 
5267008.7%
 
6210346.8%
 
7163795.3%
 
8127604.1%
 
997043.2%
 
1076112.5%
 
Other values (58)252048.2%
 
(Missing)164545.4%
 
ValueCountFrequency (%) 
042< 0.1%
 
15256517.1%
 
24589214.9%
 
34015913.1%
 
43303710.7%
 
ValueCountFrequency (%) 
731< 0.1%
 
721< 0.1%
 
671< 0.1%
 
661< 0.1%
 
642< 0.1%
 

pc_latest_contract_status_last
Categorical

MISSING

Distinct8
Distinct (%)< 0.1%
Missing20544
Missing (%)6.7%
Memory size2.3 MiB
Completed
163024 
Active
122836 
Signed
 
797
Returned to the store
 
232
Approved
 
37
Other values (3)
 
29
ValueCountFrequency (%) 
Completed16302453.0%
 
Active12283639.9%
 
Signed7970.3%
 
Returned to the store2320.1%
 
Approved37< 0.1%
 
Demand24< 0.1%
 
Amortized debt3< 0.1%
 
Canceled2< 0.1%
 
(Missing)205446.7%
 
2021-06-15T19:44:43.962159image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

cr_latest_contract_status_last
Categorical

MISSING

Distinct4
Distinct (%)< 0.1%
Missing229573
Missing (%)74.7%
Memory size2.3 MiB
Active
69397 
Completed
8492 
Signed
 
35
Demand
 
2
ValueCountFrequency (%) 
Active6939722.6%
 
Completed84922.8%
 
Signed35< 0.1%
 
Demand2< 0.1%
 
(Missing)22957374.7%
 
2021-06-15T19:44:44.775725image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

name_client_type_last
Categorical

MISSING

Distinct4
Distinct (%)< 0.1%
Missing16454
Missing (%)5.4%
Memory size2.3 MiB
Repeater
208071 
New
51945 
Refreshed
30291 
XNA
 
738
ValueCountFrequency (%) 
Repeater20807167.7%
 
New5194516.9%
 
Refreshed302919.9%
 
XNA7380.2%
 
(Missing)164545.4%
 
2021-06-15T19:44:45.235930image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

name_yield_group_grp_mode
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing16454
Missing (%)5.4%
Memory size2.3 MiB
XNA
105251 
middle
68841 
high
61410 
low_normal
38729 
low_action
16814 
ValueCountFrequency (%) 
XNA10525134.2%
 
middle6884122.4%
 
high6141020.0%
 
low_normal3872912.6%
 
low_action168145.5%
 
(Missing)164545.4%
 
2021-06-15T19:44:45.647622image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

name_yield_group_last
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing16454
Missing (%)5.4%
Memory size2.3 MiB
XNA
104383 
middle
68933 
low_normal
58883 
high
40449 
low_action
18397 
ValueCountFrequency (%) 
XNA10438333.9%
 
middle6893322.4%
 
low_normal5888319.1%
 
high4044913.2%
 
low_action183976.0%
 
(Missing)164545.4%
 
2021-06-15T19:44:46.064844image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

name_payment_type_grp_mode
Categorical

MISSING

Distinct4
Distinct (%)< 0.1%
Missing16454
Missing (%)5.4%
Memory size2.3 MiB
Cash through the bank
193331 
XNA
96962 
Non-cash from your account
 
698
Cashless from the account of the employer
 
54
ValueCountFrequency (%) 
Cash through the bank19333162.9%
 
XNA9696231.5%
 
Non-cash from your account6980.2%
 
Cashless from the account of the employer54< 0.1%
 
(Missing)164545.4%
 
2021-06-15T19:44:46.525320image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

name_payment_type_last
Categorical

MISSING

Distinct4
Distinct (%)< 0.1%
Missing16454
Missing (%)5.4%
Memory size2.3 MiB
Cash through the bank
163758 
XNA
125899 
Non-cash from your account
 
1237
Cashless from the account of the employer
 
151
ValueCountFrequency (%) 
Cash through the bank16375853.3%
 
XNA12589940.9%
 
Non-cash from your account12370.4%
 
Cashless from the account of the employer151< 0.1%
 
(Missing)164545.4%
 
2021-06-15T19:44:46.965936image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

product_combination_last
Categorical

MISSING

Distinct17
Distinct (%)< 0.1%
Missing16454
Missing (%)5.4%
Memory size2.3 MiB
Cash
66763 
POS household with interest
42288 
POS mobile with interest
35058 
Cash X-Sell: low
22516 
POS industry with interest
21804 
Other values (12)
102616 
ValueCountFrequency (%) 
Cash6676321.7%
 
POS household with interest4228813.8%
 
POS mobile with interest3505811.4%
 
Cash X-Sell: low225167.3%
 
POS industry with interest218047.1%
 
Cash X-Sell: middle201986.6%
 
Card Street192846.3%
 
POS household without interest129734.2%
 
Card X-Sell118733.9%
 
Cash X-Sell: high73352.4%
 
Other values (7)3095310.1%
 
(Missing)164545.4%
 
2021-06-15T19:44:47.520892image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

name_type_suite_last
Categorical

MISSING

Distinct7
Distinct (%)< 0.1%
Missing61918
Missing (%)20.1%
Memory size2.3 MiB
Unaccompanied
155393 
Family
58094 
Spouse, partner
17941 
Children
 
6983
Other_B
 
4338
Other values (2)
 
2832
ValueCountFrequency (%) 
Unaccompanied15539350.5%
 
Family5809418.9%
 
Spouse, partner179415.8%
 
Children69832.3%
 
Other_B43381.4%
 
Other_A22490.7%
 
Group of people5830.2%
 
(Missing)6191820.1%
 
2021-06-15T19:44:48.115932image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

channel_type_grp_mode
Categorical

MISSING

Distinct8
Distinct (%)< 0.1%
Missing16454
Missing (%)5.4%
Memory size2.3 MiB
Country-wide
106734 
Credit and cash offices
92504 
Stone
56736 
Regional / Local
16268 
AP+ (Cash loan)
 
8852
Other values (3)
 
9951
ValueCountFrequency (%) 
Country-wide10673434.7%
 
Credit and cash offices9250430.1%
 
Stone5673618.5%
 
Regional / Local162685.3%
 
AP+ (Cash loan)88522.9%
 
Contact center87002.8%
 
Channel of corporate sales11930.4%
 
Car dealer58< 0.1%
 
(Missing)164545.4%
 
2021-06-15T19:44:48.850745image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

channel_type_last
Categorical

MISSING

Distinct8
Distinct (%)< 0.1%
Missing16454
Missing (%)5.4%
Memory size2.3 MiB
Credit and cash offices
119795 
Country-wide
82509 
Stone
36937 
Regional / Local
21831 
Contact center
18689 
Other values (3)
 
11284
ValueCountFrequency (%) 
Credit and cash offices11979539.0%
 
Country-wide8250926.8%
 
Stone3693712.0%
 
Regional / Local218317.1%
 
Contact center186896.1%
 
AP+ (Cash loan)101313.3%
 
Channel of corporate sales11210.4%
 
Car dealer32< 0.1%
 
(Missing)164545.4%
 
2021-06-15T19:44:49.522223image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

code_reject_reason_grp_mode
Categorical

MISSING

Distinct9
Distinct (%)< 0.1%
Missing16454
Missing (%)5.4%
Memory size2.3 MiB
XAP
269617 
HC
 
9930
LIMIT
 
5144
SCO
 
2590
CLIENT
 
2251
Other values (4)
 
1513
ValueCountFrequency (%) 
XAP26961787.7%
 
HC99303.2%
 
LIMIT51441.7%
 
SCO25900.8%
 
CLIENT22510.7%
 
SCOFR11270.4%
 
XNA1770.1%
 
VERIF1760.1%
 
SYSTEM33< 0.1%
 
(Missing)164545.4%
 
2021-06-15T19:44:49.973519image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

code_reject_reason_last
Categorical

MISSING

Distinct9
Distinct (%)< 0.1%
Missing16454
Missing (%)5.4%
Memory size2.3 MiB
XAP
252902 
HC
 
22216
CLIENT
 
5589
LIMIT
 
4568
SCO
 
2618
Other values (4)
 
3152
ValueCountFrequency (%) 
XAP25290282.2%
 
HC222167.2%
 
CLIENT55891.8%
 
LIMIT45681.5%
 
SCO26180.9%
 
SCOFR21780.7%
 
XNA4910.2%
 
VERIF4700.2%
 
SYSTEM13< 0.1%
 
(Missing)164545.4%
 
2021-06-15T19:44:50.366461image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

prev_cnt_ct_cash_loans
Real number (ℝ≥0)

MISSING
ZEROS

Distinct58
Distinct (%)< 0.1%
Missing16454
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean2.154296875
Minimum0
Maximum60
Zeros119611
Zeros (%)38.9%
Memory size600.6 KiB
2021-06-15T19:44:50.782662image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile8
Maximum60
Range60
Interquartile range (IQR)3

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean2.154296875
Median Absolute Deviation (MAD)1
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:44:51.252766image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
011961138.9%
 
15143616.7%
 
23396411.0%
 
3237247.7%
 
4166525.4%
 
5119603.9%
 
685982.8%
 
764222.1%
 
846131.5%
 
933651.1%
 
Other values (48)107003.5%
 
(Missing)164545.4%
 
ValueCountFrequency (%) 
011961138.9%
 
15143616.7%
 
23396411.0%
 
3237247.7%
 
4166525.4%
 
ValueCountFrequency (%) 
601< 0.1%
 
591< 0.1%
 
582< 0.1%
 
571< 0.1%
 
551< 0.1%
 

prev_cnt_ct_consumer_loans
Real number (ℝ≥0)

MISSING
ZEROS

Distinct36
Distinct (%)< 0.1%
Missing16454
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean2.1484375
Minimum0
Maximum45
Zeros22034
Zeros (%)7.2%
Memory size600.6 KiB
2021-06-15T19:44:51.751556image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile6
Maximum45
Range45
Interquartile range (IQR)2

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean2.1484375
Median Absolute Deviation (MAD)1
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:44:52.241835image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%) 
111223236.5%
 
26952222.6%
 
33913012.7%
 
0220347.2%
 
4216127.0%
 
5115233.7%
 
664152.1%
 
735501.2%
 
819750.6%
 
911410.4%
 
Other values (26)19110.6%
 
(Missing)164545.4%
 
ValueCountFrequency (%) 
0220347.2%
 
111223236.5%
 
26952222.6%
 
33913012.7%
 
4216127.0%
 
ValueCountFrequency (%) 
451< 0.1%
 
421< 0.1%
 
361< 0.1%
 
342< 0.1%
 
331< 0.1%
 

prev_cnt_ct_revolving_loans
Real number (ℝ≥0)

MISSING
ZEROS

Distinct27
Distinct (%)< 0.1%
Missing16454
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean0.5541992188
Minimum0
Maximum31
Zeros186995
Zeros (%)60.8%
Memory size600.6 KiB
2021-06-15T19:44:52.828258image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum31
Range31
Interquartile range (IQR)1

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean0.5541992188
Median Absolute Deviation (MAD)0
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:44:53.544933image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
018699560.8%
 
17112623.1%
 
2208386.8%
 
364452.1%
 
428760.9%
 
512560.4%
 
66640.2%
 
73380.1%
 
82010.1%
 
9104< 0.1%
 
Other values (17)2020.1%
 
(Missing)164545.4%
 
ValueCountFrequency (%) 
018699560.8%
 
17112623.1%
 
2208386.8%
 
364452.1%
 
428760.9%
 
ValueCountFrequency (%) 
311< 0.1%
 
301< 0.1%
 
271< 0.1%
 
241< 0.1%
 
221< 0.1%
 

prev_cnt_cs_approved
Real number (ℝ≥0)

MISSING

Distinct26
Distinct (%)< 0.1%
Missing16454
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean3.044921875
Minimum0
Maximum27
Zeros992
Zeros (%)0.3%
Memory size600.6 KiB
2021-06-15T19:44:54.244632image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median3
Q34
95-th percentile7
Maximum27
Range27
Interquartile range (IQR)3

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean3.044921875
Median Absolute Deviation (MAD)1
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:44:54.955643image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%) 
17663724.9%
 
26738621.9%
 
35223817.0%
 
43566211.6%
 
5231567.5%
 
6143264.7%
 
786152.8%
 
849811.6%
 
929451.0%
 
1017450.6%
 
Other values (16)33541.1%
 
(Missing)164545.4%
 
ValueCountFrequency (%) 
09920.3%
 
17663724.9%
 
26738621.9%
 
35223817.0%
 
43566211.6%
 
ValueCountFrequency (%) 
271< 0.1%
 
242< 0.1%
 
232< 0.1%
 
222< 0.1%
 
215< 0.1%
 

prev_cnt_cs_canceled
Real number (ℝ≥0)

MISSING
ZEROS

Distinct39
Distinct (%)< 0.1%
Missing16454
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean0.8911132812
Minimum0
Maximum58
Zeros180327
Zeros (%)58.6%
Memory size600.6 KiB
2021-06-15T19:44:55.552600image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum58
Range58
Interquartile range (IQR)1

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean0.8911132812
Median Absolute Deviation (MAD)0
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:44:56.188355image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%) 
018032758.6%
 
15001216.3%
 
2261208.5%
 
3143564.7%
 
481712.7%
 
547701.6%
 
627430.9%
 
716530.5%
 
89750.3%
 
96270.2%
 
Other values (29)12910.4%
 
(Missing)164545.4%
 
ValueCountFrequency (%) 
018032758.6%
 
15001216.3%
 
2261208.5%
 
3143564.7%
 
481712.7%
 
ValueCountFrequency (%) 
581< 0.1%
 
571< 0.1%
 
521< 0.1%
 
511< 0.1%
 
441< 0.1%
 

prev_cnt_cs_refused
Real number (ℝ≥0)

MISSING
ZEROS

Distinct46
Distinct (%)< 0.1%
Missing16454
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean0.8432617188
Minimum0
Maximum68
Zeros190757
Zeros (%)62.0%
Memory size600.6 KiB
2021-06-15T19:44:56.961248image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum68
Range68
Interquartile range (IQR)1

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean0.8432617188
Median Absolute Deviation (MAD)0
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:44:57.872784image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%) 
019075762.0%
 
14653115.1%
 
2227377.4%
 
3118593.9%
 
469042.2%
 
540911.3%
 
626370.9%
 
717460.6%
 
810300.3%
 
97320.2%
 
Other values (36)20210.7%
 
(Missing)164545.4%
 
ValueCountFrequency (%) 
019075762.0%
 
14653115.1%
 
2227377.4%
 
3118593.9%
 
469042.2%
 
ValueCountFrequency (%) 
681< 0.1%
 
581< 0.1%
 
541< 0.1%
 
511< 0.1%
 
471< 0.1%
 

prev_cnt_cs_unused_offer
Real number (ℝ≥0)

MISSING
ZEROS

Distinct11
Distinct (%)< 0.1%
Missing16454
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean0.07824707031
Minimum0
Maximum16
Zeros272013
Zeros (%)88.5%
Memory size600.6 KiB
2021-06-15T19:44:58.600837image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3266601562
Coefficient of variation (CV)4.17578125
Kurtosisnan
Mean0.07824707031
Median Absolute Deviation (MAD)0
Skewnessnan
Sum22752
Variance0.106628418
MonotocityNot monotonic
2021-06-15T19:44:59.198288image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%) 
027201388.5%
 
1161185.2%
 
223320.8%
 
34270.1%
 
4114< 0.1%
 
521< 0.1%
 
611< 0.1%
 
85< 0.1%
 
72< 0.1%
 
101< 0.1%
 
(Missing)164545.4%
 
ValueCountFrequency (%) 
027201388.5%
 
1161185.2%
 
223320.8%
 
34270.1%
 
4114< 0.1%
 
ValueCountFrequency (%) 
161< 0.1%
 
101< 0.1%
 
85< 0.1%
 
72< 0.1%
 
611< 0.1%
 

prev_cnt_pt_xna
Real number (ℝ≥0)

MISSING
ZEROS

Distinct48
Distinct (%)< 0.1%
Missing16454
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean3.091796875
Minimum0
Maximum61
Zeros10834
Zeros (%)3.5%
Memory size600.6 KiB
2021-06-15T19:44:59.681063image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q34
95-th percentile8
Maximum61
Range61
Interquartile range (IQR)3

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean3.091796875
Median Absolute Deviation (MAD)1
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:45:00.160006image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%) 
17818625.4%
 
26297020.5%
 
34624615.0%
 
43162410.3%
 
5209556.8%
 
6136104.4%
 
0108343.5%
 
788992.9%
 
858401.9%
 
937731.2%
 
Other values (38)81082.6%
 
(Missing)164545.4%
 
ValueCountFrequency (%) 
0108343.5%
 
17818625.4%
 
26297020.5%
 
34624615.0%
 
43162410.3%
 
ValueCountFrequency (%) 
612< 0.1%
 
601< 0.1%
 
572< 0.1%
 
541< 0.1%
 
531< 0.1%
 

prev_cnt_pt_walk-in
Real number (ℝ≥0)

MISSING
ZEROS

Distinct33
Distinct (%)< 0.1%
Missing16454
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean0.4406738281
Minimum0
Maximum42
Zeros218386
Zeros (%)71.0%
Memory size600.6 KiB
2021-06-15T19:45:00.691800image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum42
Range42
Interquartile range (IQR)0

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean0.4406738281
Median Absolute Deviation (MAD)0
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:45:01.285053image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%) 
021838671.0%
 
14658815.2%
 
2139034.5%
 
356351.8%
 
427880.9%
 
514760.5%
 
68370.3%
 
74820.2%
 
83220.1%
 
91600.1%
 
Other values (23)4680.2%
 
(Missing)164545.4%
 
ValueCountFrequency (%) 
021838671.0%
 
14658815.2%
 
2139034.5%
 
356351.8%
 
427880.9%
 
ValueCountFrequency (%) 
421< 0.1%
 
391< 0.1%
 
361< 0.1%
 
311< 0.1%
 
291< 0.1%
 

prev_cnt_pt_x-sell
Real number (ℝ≥0)

MISSING
ZEROS

Distinct34
Distinct (%)< 0.1%
Missing16454
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean1.32421875
Minimum0
Maximum51
Zeros139766
Zeros (%)45.5%
Memory size600.6 KiB
2021-06-15T19:45:01.956940image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum51
Range51
Interquartile range (IQR)2

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean1.32421875
Median Absolute Deviation (MAD)1
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:45:02.348163image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%) 
013976645.5%
 
16018019.6%
 
23703612.0%
 
3217007.1%
 
4126404.1%
 
572312.4%
 
645381.5%
 
727130.9%
 
817950.6%
 
911190.4%
 
Other values (24)23270.8%
 
(Missing)164545.4%
 
ValueCountFrequency (%) 
013976645.5%
 
16018019.6%
 
23703612.0%
 
3217007.1%
 
4126404.1%
 
ValueCountFrequency (%) 
511< 0.1%
 
461< 0.1%
 
331< 0.1%
 
321< 0.1%
 
311< 0.1%
 

bc_cnt_loans
Real number (ℝ≥0)

MISSING

Distinct60
Distinct (%)< 0.1%
Missing44019
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean5.5625
Minimum1
Maximum116
Zeros0
Zeros (%)0.0%
Memory size600.6 KiB
2021-06-15T19:45:03.090574image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q38
95-th percentile14
Maximum116
Range115
Interquartile range (IQR)6

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean5.5625
Median Absolute Deviation (MAD)2
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:45:03.883545image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
13606911.7%
 
23563511.6%
 
33292410.7%
 
4289709.4%
 
5249838.1%
 
6209526.8%
 
7172715.6%
 
8143564.7%
 
9111563.6%
 
1088872.9%
 
Other values (50)3227710.5%
 
(Missing)4401914.3%
 
ValueCountFrequency (%) 
13606911.7%
 
23563511.6%
 
33292410.7%
 
4289709.4%
 
5249838.1%
 
ValueCountFrequency (%) 
1161< 0.1%
 
941< 0.1%
 
611< 0.1%
 
591< 0.1%
 
581< 0.1%
 

bc_cnt_credit_type
Real number (ℝ≥0)

MISSING

Distinct6
Distinct (%)< 0.1%
Missing44019
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean1.743164062
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Memory size600.6 KiB
2021-06-15T19:45:04.413613image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean1.743164062
Median Absolute Deviation (MAD)0
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:45:04.805862image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
214371446.7%
 
19466530.8%
 
3232977.6%
 
417350.6%
 
565< 0.1%
 
64< 0.1%
 
(Missing)4401914.3%
 
ValueCountFrequency (%) 
19466530.8%
 
214371446.7%
 
3232977.6%
 
417350.6%
 
565< 0.1%
 
ValueCountFrequency (%) 
64< 0.1%
 
565< 0.1%
 
417350.6%
 
3232977.6%
 
214371446.7%
 

bc_sum_cnt_credit_prolong
Real number (ℝ≥0)

MISSING
ZEROS

Distinct10
Distinct (%)< 0.1%
Missing44019
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean0.04046630859
Minimum0
Maximum9
Zeros254973
Zeros (%)82.9%
Memory size600.6 KiB
2021-06-15T19:45:05.444252image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2470703125
Coefficient of variation (CV)6.10546875
Kurtosisnan
Mean0.04046630859
Median Absolute Deviation (MAD)0
Skewnessnan
Sum10656
Variance0.06106567383
MonotocityNot monotonic
2021-06-15T19:45:05.824007image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
025497382.9%
 
168682.2%
 
212820.4%
 
32560.1%
 
461< 0.1%
 
529< 0.1%
 
67< 0.1%
 
92< 0.1%
 
81< 0.1%
 
71< 0.1%
 
(Missing)4401914.3%
 
ValueCountFrequency (%) 
025497382.9%
 
168682.2%
 
212820.4%
 
32560.1%
 
461< 0.1%
 
ValueCountFrequency (%) 
92< 0.1%
 
81< 0.1%
 
71< 0.1%
 
67< 0.1%
 
529< 0.1%
 

bc_last_days
Real number (ℝ)

MISSING

Distinct2386
Distinct (%)0.9%
Missing44019
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean-141
Minimum-41888
Maximum372
Zeros345
Zeros (%)0.1%
Memory size600.6 KiB
2021-06-15T19:45:06.308516image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-41888
5-th percentile-792
Q1-50
median-19
Q3-9
95-th percentile-3
Maximum372
Range42272
Interquartile range (IQR)41

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)-inf
Kurtosisnan
Mean-141
Median Absolute Deviation (MAD)12
Skewnessnan
Sum-inf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:45:07.033576image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-7108773.5%
 
-8102693.3%
 
-6100713.3%
 
-989132.9%
 
-587182.8%
 
-1085112.8%
 
-1178682.6%
 
-1273552.4%
 
-472352.4%
 
-1368582.2%
 
Other values (2376)17680557.5%
 
(Missing)4401914.3%
 
ValueCountFrequency (%) 
-418881< 0.1%
 
-29101< 0.1%
 
-28661< 0.1%
 
-28581< 0.1%
 
-28561< 0.1%
 
ValueCountFrequency (%) 
3721< 0.1%
 
232< 0.1%
 
221< 0.1%
 
202< 0.1%
 
191< 0.1%
 

bc_amt_max_credit_overdue
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct44797
Distinct (%)24.4%
Missing123618
Missing (%)40.2%
Infinite0
Infinite (%)0.0%
Mean9396.346805
Minimum0
Maximum115987185
Zeros113443
Zeros (%)36.9%
Memory size2.3 MiB
2021-06-15T19:45:07.879678image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35928.66
95-th percentile26541.855
Maximum115987185
Range115987185
Interquartile range (IQR)5928.66

Descriptive statistics

Standard deviation367968.5748
Coefficient of variation (CV)39.16081244
Kurtosis77719.08255
Mean9396.346805
Median Absolute Deviation (MAD)0
Skewness265.9228473
Sum1727809647
Variance1.354008721e+11
MonotocityNot monotonic
2021-06-15T19:45:08.684007image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
011344336.9%
 
14403180.1%
 
2252290.1%
 
451870.1%
 
4.51760.1%
 
13500117< 0.1%
 
9000109< 0.1%
 
4500102< 0.1%
 
9101< 0.1%
 
9099< 0.1%
 
Other values (44787)6900022.4%
 
(Missing)12361840.2%
 
ValueCountFrequency (%) 
011344336.9%
 
0.0459< 0.1%
 
0.093< 0.1%
 
0.1356< 0.1%
 
0.182< 0.1%
 
ValueCountFrequency (%) 
1159871851< 0.1%
 
948122461< 0.1%
 
16950010.51< 0.1%
 
14111390.71< 0.1%
 
13975258.51< 0.1%
 

bb_last_loan_status
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct24760
Distinct (%)13.5%
Missing123618
Missing (%)40.2%
Infinite0
Infinite (%)0.0%
Mean5184.158611
Minimum0
Maximum115987185
Zeros149507
Zeros (%)48.6%
Memory size2.3 MiB
2021-06-15T19:45:09.612006image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile13824
Maximum115987185
Range115987185
Interquartile range (IQR)0

Descriptive statistics

Standard deviation361875.382
Coefficient of variation (CV)69.8040722
Kurtosis83077.62548
Mean5184.158611
Median Absolute Deviation (MAD)0
Skewness278.8534298
Sum953268269.6
Variance1.309537921e+11
MonotocityNot monotonic
2021-06-15T19:45:10.135006image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
014950748.6%
 
14402160.1%
 
225150< 0.1%
 
4.5117< 0.1%
 
4592< 0.1%
 
9061< 0.1%
 
958< 0.1%
 
1852< 0.1%
 
450052< 0.1%
 
900048< 0.1%
 
Other values (24750)3352810.9%
 
(Missing)12361840.2%
 
ValueCountFrequency (%) 
014950748.6%
 
0.0456< 0.1%
 
0.093< 0.1%
 
0.1353< 0.1%
 
0.181< 0.1%
 
ValueCountFrequency (%) 
1159871851< 0.1%
 
948122461< 0.1%
 
16950010.51< 0.1%
 
14111390.71< 0.1%
 
13975258.51< 0.1%
 

bb_cnt_unique_loan_obs
Real number (ℝ≥0)

MISSING
ZEROS

Distinct38
Distinct (%)< 0.1%
Missing44019
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean1.9609375
Minimum0
Maximum46
Zeros79599
Zeros (%)25.9%
Memory size600.6 KiB
2021-06-15T19:45:12.626636image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile6
Maximum46
Range46
Interquartile range (IQR)3

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean1.9609375
Median Absolute Deviation (MAD)1
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:45:13.157536image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%) 
07959925.9%
 
16531721.2%
 
24257213.8%
 
3271008.8%
 
4176485.7%
 
5111883.6%
 
670882.3%
 
745381.5%
 
828630.9%
 
919150.6%
 
Other values (28)36521.2%
 
(Missing)4401914.3%
 
ValueCountFrequency (%) 
07959925.9%
 
16531721.2%
 
24257213.8%
 
3271008.8%
 
4176485.7%
 
ValueCountFrequency (%) 
461< 0.1%
 
431< 0.1%
 
402< 0.1%
 
391< 0.1%
 
381< 0.1%
 

bc_cnt_car_loan
Real number (ℝ≥0)

MISSING
ZEROS

Distinct10
Distinct (%)< 0.1%
Missing44019
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean0.09014892578
Minimum0
Maximum9
Zeros243906
Zeros (%)79.3%
Memory size600.6 KiB
2021-06-15T19:45:13.642602image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3498535156
Coefficient of variation (CV)3.880859375
Kurtosisnan
Mean0.09014892578
Median Absolute Deviation (MAD)0
Skewnessnan
Sum23760
Variance0.1224365234
MonotocityNot monotonic
2021-06-15T19:45:13.916492image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
024390679.3%
 
1162485.3%
 
226650.9%
 
35200.2%
 
4103< 0.1%
 
529< 0.1%
 
65< 0.1%
 
72< 0.1%
 
81< 0.1%
 
91< 0.1%
 
(Missing)4401914.3%
 
ValueCountFrequency (%) 
024390679.3%
 
1162485.3%
 
226650.9%
 
35200.2%
 
4103< 0.1%
 
ValueCountFrequency (%) 
91< 0.1%
 
81< 0.1%
 
72< 0.1%
 
65< 0.1%
 
529< 0.1%
 

bc_cnt_consumer_credit
Real number (ℝ≥0)

MISSING
ZEROS

Distinct54
Distinct (%)< 0.1%
Missing44019
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean4.05859375
Minimum0
Maximum86
Zeros16641
Zeros (%)5.4%
Memory size600.6 KiB
2021-06-15T19:45:14.365379image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q36
95-th percentile11
Maximum86
Range86
Interquartile range (IQR)4

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean4.05859375
Median Absolute Deviation (MAD)2
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:45:14.728619image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
14786415.6%
 
24318714.0%
 
33611511.7%
 
4286959.3%
 
5228677.4%
 
6179215.8%
 
0166415.4%
 
7132454.3%
 
897043.2%
 
973502.4%
 
Other values (44)198916.5%
 
(Missing)4401914.3%
 
ValueCountFrequency (%) 
0166415.4%
 
14786415.6%
 
24318714.0%
 
33611511.7%
 
4286959.3%
 
ValueCountFrequency (%) 
861< 0.1%
 
571< 0.1%
 
561< 0.1%
 
541< 0.1%
 
531< 0.1%
 

bc_cnt_cr_type_others
Real number (ℝ≥0)

MISSING
ZEROS

Distinct30
Distinct (%)< 0.1%
Missing44019
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean0.04742431641
Minimum0
Maximum79
Zeros257078
Zeros (%)83.6%
Memory size600.6 KiB
2021-06-15T19:45:15.452584image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum79
Range79
Interquartile range (IQR)0

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean0.04742431641
Median Absolute Deviation (MAD)0
Skewnessnan
Sum12496
Varianceinf
MonotocityNot monotonic
2021-06-15T19:45:15.940424image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%) 
025707883.6%
 
144211.4%
 
28850.3%
 
33760.1%
 
42280.1%
 
5133< 0.1%
 
695< 0.1%
 
752< 0.1%
 
841< 0.1%
 
935< 0.1%
 
Other values (20)136< 0.1%
 
(Missing)4401914.3%
 
ValueCountFrequency (%) 
025707883.6%
 
144211.4%
 
28850.3%
 
33760.1%
 
42280.1%
 
ValueCountFrequency (%) 
791< 0.1%
 
441< 0.1%
 
401< 0.1%
 
281< 0.1%
 
252< 0.1%
 

bc_cnt_credit_card
Real number (ℝ≥0)

MISSING
ZEROS

Distinct22
Distinct (%)< 0.1%
Missing44019
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean1.3046875
Minimum0
Maximum22
Zeros91446
Zeros (%)29.7%
Memory size600.6 KiB
2021-06-15T19:45:16.564141image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum22
Range22
Interquartile range (IQR)2

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean1.3046875
Median Absolute Deviation (MAD)1
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:45:16.835413image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%) 
09144629.7%
 
18601628.0%
 
24372314.2%
 
3213316.9%
 
4103523.4%
 
551071.7%
 
626190.9%
 
713280.4%
 
86810.2%
 
93950.1%
 
Other values (12)4820.2%
 
(Missing)4401914.3%
 
ValueCountFrequency (%) 
09144629.7%
 
18601628.0%
 
24372314.2%
 
3213316.9%
 
4103523.4%
 
ValueCountFrequency (%) 
221< 0.1%
 
201< 0.1%
 
191< 0.1%
 
183< 0.1%
 
175< 0.1%
 

bc_cnt_mortgage
Real number (ℝ≥0)

MISSING
ZEROS

Distinct8
Distinct (%)< 0.1%
Missing44019
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean0.05923461914
Minimum0
Maximum13
Zeros249175
Zeros (%)81.0%
Memory size600.6 KiB
2021-06-15T19:45:17.116551image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum13
Range13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2600097656
Coefficient of variation (CV)4.390625
Kurtosisnan
Mean0.05923461914
Median Absolute Deviation (MAD)0
Skewnessnan
Sum15592
Variance0.06762695312
MonotocityNot monotonic
2021-06-15T19:45:17.482216image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
024917581.0%
 
1131674.3%
 
210160.3%
 
395< 0.1%
 
423< 0.1%
 
52< 0.1%
 
81< 0.1%
 
131< 0.1%
 
(Missing)4401914.3%
 
ValueCountFrequency (%) 
024917581.0%
 
1131674.3%
 
210160.3%
 
395< 0.1%
 
423< 0.1%
 
ValueCountFrequency (%) 
131< 0.1%
 
81< 0.1%
 
52< 0.1%
 
423< 0.1%
 
395< 0.1%
 

bc_cnt_active
Real number (ℝ≥0)

MISSING
ZEROS

Distinct23
Distinct (%)< 0.1%
Missing44019
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean2.056640625
Minimum0
Maximum32
Zeros46340
Zeros (%)15.1%
Memory size600.6 KiB
2021-06-15T19:45:17.805536image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum32
Range32
Interquartile range (IQR)2

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean2.056640625
Median Absolute Deviation (MAD)1
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:45:18.386312image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%) 
17410024.1%
 
25838219.0%
 
04634015.1%
 
33800812.4%
 
4220397.2%
 
5120503.9%
 
661072.0%
 
731561.0%
 
816480.5%
 
97800.3%
 
Other values (13)8700.3%
 
(Missing)4401914.3%
 
ValueCountFrequency (%) 
04634015.1%
 
17410024.1%
 
25838219.0%
 
33800812.4%
 
4220397.2%
 
ValueCountFrequency (%) 
321< 0.1%
 
222< 0.1%
 
201< 0.1%
 
194< 0.1%
 
182< 0.1%
 

bc_cnt_closed
Real number (ℝ≥0)

MISSING
ZEROS

Distinct54
Distinct (%)< 0.1%
Missing44019
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean3.482421875
Minimum0
Maximum108
Zeros33324
Zeros (%)10.8%
Memory size600.6 KiB
2021-06-15T19:45:18.947423image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q35
95-th percentile10
Maximum108
Range108
Interquartile range (IQR)4

Descriptive statistics

Standard deviationinf
Coefficient of variation (CV)inf
Kurtosisnan
Mean3.482421875
Median Absolute Deviation (MAD)2
Skewnessnan
Suminf
Varianceinf
MonotocityNot monotonic
2021-06-15T19:45:19.504764image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
15350017.4%
 
24308914.0%
 
33366710.9%
 
03332410.8%
 
4259148.4%
 
5196416.4%
 
6146104.8%
 
7109193.6%
 
876512.5%
 
956351.8%
 
Other values (44)155305.1%
 
(Missing)4401914.3%
 
ValueCountFrequency (%) 
03332410.8%
 
15350017.4%
 
24308914.0%
 
33366710.9%
 
4259148.4%
 
ValueCountFrequency (%) 
1081< 0.1%
 
841< 0.1%
 
561< 0.1%
 
522< 0.1%
 
511< 0.1%
 

bc_cnt_cr_status_others
Real number (ℝ≥0)

MISSING
ZEROS

Distinct8
Distinct (%)< 0.1%
Missing44019
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean0.02153015137
Minimum0
Maximum9
Zeros258237
Zeros (%)84.0%
Memory size600.6 KiB
2021-06-15T19:45:20.286061image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1583251953
Coefficient of variation (CV)7.35546875
Kurtosisnan
Mean0.02153015137
Median Absolute Deviation (MAD)0
Skewnessnan
Sum5672
Variance0.02508544922
MonotocityNot monotonic
2021-06-15T19:45:20.806686image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
025823784.0%
 
148711.6%
 
23320.1%
 
331< 0.1%
 
45< 0.1%
 
52< 0.1%
 
91< 0.1%
 
61< 0.1%
 
(Missing)4401914.3%
 
ValueCountFrequency (%) 
025823784.0%
 
148711.6%
 
23320.1%
 
331< 0.1%
 
45< 0.1%
 
ValueCountFrequency (%) 
91< 0.1%
 
61< 0.1%
 
52< 0.1%
 
45< 0.1%
 
331< 0.1%